| Patent application number | Description | Published |
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| 20080211937 | RED-EYE FILTER METHOD AND APPARATUS - A digital image acquisition system having no photographic film, such as a digital camera, has a flash unit for providing illumination during image capture and a red-eye filter for detecting a region within a captured image indicative of a red-eye phenomenon, the detection being based upon a comparison of the captured image and a reference image of nominally the same scene taken without flash. In the embodiment the reference image is a preview image of lower pixel resolution than the captured image, the filter matching the pixel resolutions of the captured and reference images by up-sampling the preview image and/or sub-sampling the captured image. The filter also aligns at least portions of the captured image and reference image prior to comparison to allow for, e.g. movement in the subject. | 09-04-2008 |
| 20080219518 | Red Eye False Positive Filtering Using Face Location and Orientation - An image is acquired including a red eye defect and non red eye defect regions having a red color. An initial segmentation of candidate redeye regions is performed. A location and orientation of one or more faces within the image are determined. The candidate redeye regions are analyzed based on the determined location and orientation of the one or more faces to determine a probability that each redeye region appears at a position of an eye. Any confirmed redeye regions having at least a certain threshold probability of being a false positive are removed as candidate redeye defect regions. The remaining redeye defect regions are corrected and a red eye corrected image is generated. | 09-11-2008 |
| 20080219581 | Image Processing Method and Apparatus - A method and apparatus for providing image processing. For one embodiment of the invention, an image processing apparatus is arranged to process a first relatively underexposed and sharp image of a scene, and a second relatively well exposed and blurred image, nominally of the same scene, the first and second images being derived from respective image sources. The apparatus provides a portion of the relatively first underexposed image as an input signal to an adaptive filter; and a corresponding portion of the second relatively well exposed image as a desired signal to the adaptive filter. The adaptive filter produces an output signal from the input signal and the desired signal; and an image generator constructs a first filtered image from the output signal, relatively less blurred than the second image. | 09-11-2008 |
| 20080220750 | Face Categorization and Annotation of a Mobile Phone Contact List - A method of face categorization and annotation of a face image library includes automatically cropping a face within an acquired digital image or removing one or more non-facial items from the digital image, or both, and thereby generating a full-size face image. The full-size face image is stored with other indicia identifying a person corresponding to the face in a face image library of an embedded device such as a mobile camera phone or other handheld camera device. | 09-11-2008 |
| 20080232711 | Two Stage Detection for Photographic Eye Artifacts - The detection of red-eye defects is enhanced in digital images for embedded image acquisition and processing systems. A two-stage redeye filtering system includes a speed optimized filter that performs initial segmentation of candidate redeye regions and optionally applies a speed-optimized set of falsing/verification filters to determine a first set of confirmed redeye regions for correction. Some of the candidate regions which are rejected during the first stage are recorded and re-analyzed during a second stage by an alternative set of analysis-optimized filters to determine a second set of confirmed redeye regions. | 09-25-2008 |
| 20080240555 | Two Stage Detection for Photographic Eye Artifacts - A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector. | 10-02-2008 |
| 20080266419 | METHOD AND APPARATUS FOR AUTOMATICALLY CONTROLLING THE DECISIVE MOMENT FOR AN IMAGE ACQUISITION DEVICE - A method is operable in an image acquisition device for controlling an instant of exposure. A face is detected in a first image a scene, and further images are acquired substantially of the same scene. When a new face is detected in at least one of the further images, then a final image of the scene is acquired. | 10-30-2008 |
| 20080267461 | REAL-TIME FACE TRACKING IN A DIGITAL IMAGE ACQUISITION DEVICE - A database includes an identifier and associated parameters for each of a number of faces to be recognized. A new acquired image from an image stream is received potentially including one or more face regions. Face detection is applied to at least a portion of the acquired image to provide a set of candidate face regions each having a given size and a respective location. Using the database, face recognition is selectively applied to at least one of the candidate face regions to provide an identifier for a face recognized in a candidate face region. A portion of the image is stored including the recognized face in association with at least one image of the image stream. | 10-30-2008 |
| 20080292183 | DETECTING RED EYE FILTER AND APPARATUS USING META-DATA - A method of filtering a red-eye phenomenon from an acquired digital image including a multiplicity of pixels indicative of color, the pixels forming various shapes of the image, includes analyzing meta-data information, determining one or more regions within the digital image suspected as including red eye artifact, and determining, based at least in part on the meta-data analysis, whether the regions are actual red eye artifact. The meta-data information may include information describing conditions under which the image was acquired, captured and/or digitized, acquisition device-specific information, and/film information. | 11-27-2008 |
| 20080292193 | Image Processing Method and Apparatus - An image processing technique includes acquiring a main image of a scene and determining one or more facial regions in the main image. The facial regions are analysed to determine if any of the facial regions includes a defect. A sequence of relatively low resolution images nominally of the same scene is also acquired. One or more sets of low resolution facial regions in the sequence of low resolution images are determined and analysed for defects. Defect free facial regions of a set are combined to provide a high quality defect free facial region. At least a portion of any defective facial regions of the main image are corrected with image information from a corresponding high quality defect free facial region. | 11-27-2008 |
| 20080298679 | DETECTING RED EYE FILTER AND APPARAUS USING META-DATA - A method of filtering a red-eye phenomenon from an acquired digital image including a multiplicity of pixels indicative of color, the pixels forming various shapes of the image, includes analyzing meta-data information, determining one or more regions within the digital image suspected as including red eye artifact, and determining, based at least in part on the meta-data analysis, whether the regions are actual red eye artifact. The meta-data information may include information describing conditions under which the image was acquired, captured and/or digitized, acquisition device-specific information, and/ film information. | 12-04-2008 |
| 20080316321 | Method Of Notifying Users Regarding Motion Artifacts Based On Image Analysis - A digital image acquisition system includes a portable apparatus for capturing digital images and a digital processing component for detecting, analyzing and informing the photographer regarding motion blur, and for reducing camera motion blur in an image captured by the apparatus. The digital processing component operates by comparing the image with at least one other image, for example a preview image, of nominally the same scene taken outside the exposure period of the main image. In one embodiment the digital processing component determines the degree of artifacts and whether to inform the user that the image is blurred by identifying at least one feature in a single preview image which is relatively less blurred than the corresponding feature in the main image. In another embodiment, the digital processing component calculates a trajectory of at least one feature in a plurality of preview images, extrapolates such feature on to the main image, calculates a PSF in respect of the feature, and informs the user based on the calculated PSF. In another embodiment the digital processing unit after determining the degree of blur notifies the photographer of the existing blur or automatically invokes consecutive captures. In another embodiment, the digital processing unit determines whether the image quality is acceptable from real time analysis of the captured image and provides this information to the user. Such real time analysis may use the auto focusing mechanism to qualitatively determine the PSF. | 12-25-2008 |
| 20080316327 | IMAGE CAPTURE DEVICE WITH CONTEMPORANEOUS REFERENCE IMAGE CAPTURE MECHANISM - A hand-held or otherwise portable or spatial or temporal performance-based image capture device includes one or more lenses, an aperture and a main sensor for capturing an original main image. A secondary sensor and optical system are for capturing a reference image that has temporal and spatial overlap with the original image. The device performs an image processing method including capturing the main image with the main sensor and the reference image with the secondary sensor, and utilizing information from the reference image to enhance the main image. The main and secondary sensors are contained together within a housing. | 12-25-2008 |
| 20080316328 | FOREGROUND/BACKGROUND SEPARATION USING REFERENCE IMAGES - A technique involves distinguishing between foreground and background regions of a digital image of a scene. First and second images are captured of nominally a same scene. The first image is a relatively high resolution image taken with the foreground more in focus than the background, while the second image is a relatively low resolution reference image taken with the background more in focus than the foreground. Regions of the captured images are assigned as foreground or background. In accordance with the assigning, one or more processed images are rendered based on the first image or the second image, or both. | 12-25-2008 |
| 20080316341 | DETECTING RED EYE FILTER AND APPARATUS USING META-DATA - A method of filtering a red-eye phenomenon from an acquired digital image including a multiplicity of pixels indicative of color, the pixels forming various shapes of the image, includes analyzing meta-data information, determining one or more regions within the digital image suspected as including red eye artifact, and determining, based at least in part on the meta-data analysis, whether the regions are actual red eye artifact. The meta-data information may include information describing conditions under which the image was acquired, captured and/or digitized, acquisition device-specific information, and/film information. | 12-25-2008 |
| 20080317339 | METHOD AND APPARATUS FOR RED-EYE DETECTION USING PREVIEW OR OTHER REFERENCE IMAGES - A method for red-eye detection in an acquired digital image acquiring one or more preview or other reference images without a flash. Any red regions that exist within the one or more reference images are determined. A main image is acquired with a flash of approximately a same scene as the one or more reference images. The main image is analyzed to determine any candidate red eye defect regions that exist within the main image. Any red regions determined to exist within the one or more reference images are compared with any candidate red eye defect regions determined to exist within the main image. Any candidate red eye defect regions within the main image corresponding to red regions determined also to exist within the one or more reference images are removed as candidate red eye defect regions. | 12-25-2008 |
| 20080317357 | METHOD OF GATHERING VISUAL META DATA USING A REFERENCE IMAGE - A digital image processing technique gathers visual meta data using a reference image. A main image and one or more reference images are captured on a hand-held or otherwise portable or spatial or temporal performance-based image capture device. The reference images are analyzed based on predefined criteria in comparison to the main image. Based on said analyzing, supplemental meta data are created and added to the main image at a digital data storage location. | 12-25-2008 |
| 20080317378 | DIGITAL IMAGE ENHANCEMENT WITH REFERENCE IMAGES - A digital image processing technique is for detecting and correcting visual imperfections using a reference image. A main image and one or more reference images having a temporal and/or spatial overlap and/or proximity with the original image are captured. Device information, image data and/or meta data are analyzed of the one or more reference images relating to a defect in the main image. The device corrects the defect based on the information, image data and/or meta-data to create an enhanced version of the main image. | 12-25-2008 |
| 20080317379 | DIGITAL IMAGE ENHANCEMENT WITH REFERENCE IMAGES - A digital image processing technique detects and corrects visual imperfections using a reference image. A main image and one or more reference images having a temporal and/or spatial overlap and/or proximity with the original image are captured. Device information, image data and/or meta data are analyzed of the one or more reference images relating to a defect in the main image. The device corrects the defect based on the information, image data and/or meta-data to create an enhanced version of the main image. | 12-25-2008 |
| 20090002514 | Digital Image Processing Using Face Detection Information - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 01-01-2009 |
| 20090003652 | REAL-TIME FACE TRACKING WITH REFERENCE IMAGES - A method of tracking a face in a reference image stream using a digital image acquisition device includes acquiring a full resolution main image and an image stream of relatively low resolution reference images each including one or more face regions. One or more face regions are identified within two or more of the reference images. A relative movement is determined between the two or more reference images. A size and location are determined of the one or more face regions within each of the two or more reference images. Concentrated face detection is applied to at least a portion of the full resolution main image in a predicted location for candidate face regions having a predicted size as a function of the determined relative movement and the size and location of the one or more face regions within the reference images, to provide a set of candidate face regions for the main image. | 01-01-2009 |
| 20090003708 | MODIFICATION OF POST-VIEWING PARAMETERS FOR DIGITAL IMAGES USING IMAGE REGION OR FEATURE INFORMATION - A method of generating one or more new digital images using an original digitally-acquired image including a selected image feature includes identifying within a digital image acquisition device one or more groups of pixels that correspond to the selected image feature based on information from one or more preview images. A portion of the original image is selected that includes the one or more groups of pixels. The technique includes automatically generating values of pixels of one or more new images based on the selected portion in a manner which includes the selected image feature within the one or more new images. | 01-01-2009 |
| 20090013187 | Secure Storage Device For Transfer Of Digital Camera Data - A secure storage device with the external dimensions of a PCMCIA card, for securing digital camera data at the acquisition stage. Original digital camera data is saved in the memory of the secure storage device which has the capability of performing one or more security functions, including encryption, creation of an authentication file, adding data to the image data such as fingerprinting, and adding secure annotations such as separate data included in an image-header. The device prepares original authentication data from original digital camera data, and encrypts and stores both the original authentication data and the original image data. The use of the device includes downloading the original image data to a first computer, and encrypted original authentication data to a second computer. The second computer can be programmed with software whereby the encrypted original authentication data can be decrypted by a user having a key. The software then allows the user to prepare corresponding second authentication data from second image data of questionable authenticity. If the second authentication data is the same as the original authentication data, the questionable second image data is deemed to be an accurate copy of the original image data. | 01-08-2009 |
| 20090027520 | RED-EYE FILTER METHOD AND APPARATUS - A digital image acquisition system having no photographic film, such as a digital camera, has a flash unit for providing illumination during image capture and a red-eye filter for detecting a region within a captured image indicative of a red-eye phenomenon, the detection being based upon a comparison of the captured image and a reference image of nominally the same scene taken without flash. In the embodiment the reference image is a preview image of lower pixel resolution than the captured image, the filter matching the pixel resolutions of the captured and reference images by up-sampling the preview image and/or sub-sampling the captured image. The filter also aligns at least portions of the captured image and reference image prior to comparison to allow for, e.g. movement in the subject. | 01-29-2009 |
| 20090040342 | Image Blurring - A method of blurring an image includes acquiring two images of nominally a same scene taken at a different light exposure levels. At least one region of one of the images includes pixels having saturated intensity values. For at least one of the saturated pixels, values are extrapolated from the other image. At least a portion of a third image is blurred and re-scaled including pixels having the extrapolated values. | 02-12-2009 |
| 20090046161 | Method and Apparatus for Initiating Subsequent Exposures Based On Determination Of Motion Blurring Artifacts - A digital image acquisition system includes a portable apparatus for capturing digital images and a digital processing component for detecting, analyzing, invoking subsequent image captures and informing the photographer regarding motion blur, and for reducing camera motion blur in an image captured by the apparatus. The digital processing component operates by comparing the image with at least one other image, for example a preview image, of nominally the same scene taken outside the exposure period of the main image. In one embodiment the digital processing component identifies at least one feature in a single preview image which is relatively less blurred than the corresponding feature in the main image, calculates a point spread function (PSF) in respect of such feature, and initiates a subsequent capture if determined that the motion blur exceeds a certain threshold. In another embodiment the digital processing determines the degree of blur by analyzing the motion blur in the captured image itself, and initiates a subsequent capture if determined that the motion blur exceeds a certain threshold. Such real time analysis may use the auto focusing mechanism to qualitatively determine the PSF. | 02-19-2009 |
| 20090052749 | Digital Image Processing Using Face Detection Information - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 02-26-2009 |
| 20090052750 | Digital Image Processing Using Face Detection Information - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 02-26-2009 |
| 20090087030 | Digital Image Processing Using Face Detection Information - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 04-02-2009 |
| 20090087042 | Digital Image Processing Using Face Detection Information - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 04-02-2009 |
| 20090102949 | Perfecting the Effect of Flash within an Image Acquisition Devices using Face Detection - Within a digital acquisition device with a built in flash unit, the exposure of an acquired digital image is perfected using face detection in the acquired image is provided. Groups of pixels that correspond to plural images of faces are identified within a digitally acquired image, and corresponding image attributes to the group of pixels are determined. An analysis is performed of the corresponding attributes of the groups of pixels. It is then determined to activate the built-in flash unit based on the analysis. An intensity of the built-in flash unit is determined based on the analysis. Alternatively based on similar analysis, a digital simulation of the fill flash is performed on the image. | 04-23-2009 |
| 20090115915 | Camera Based Feedback Loop Calibration of a Projection Device - A system is provided for projecting a calibrated image. The system includes a projector to project an uncalibrated image. A processor-based digital image acquisition device is in communication with the projector and is disposed to acquire the projected, uncalibrated image. The device is also programmed to compensate for one or more parameters of viewing quality, and to communicate calibration information to the projector to project a first calibrated image. | 05-07-2009 |
| 20090141144 | Digital Image Adjustable Compression and Resolution Using Face Detection Information - A method of adjustable spatial and/or temporal compression of an image including a face includes identifying a group of pixels that correspond to a face within a digitally-acquired image. A first compression portion of the image including the group of pixels is determined. A second compression portion of the image other than the group of pixels is also determined. The first compression portion may be automatically compressed with higher-grade compression than the second compression portion to generate a compressed image including the face, or an option to provided the compressed image including the different grade compressions may be provided. | 06-04-2009 |
| 20090179998 | Modification of Post-Viewing Parameters for Digital Images Using Image Region or Feature Information - A method of modifying the viewing parameters of digital images using image feature detection for achieving desired parameters based on one or more sub-groups of pixels that correspond to one or more selected image features such as a face, body, pets, or a background region or a foreground region. Such methods may be used for animating still images, automating and streamlining application such as the creation of slide shows and screen savers of images containing selected image features. Two or more features such as a foreground region and a background region may be separated and independently processed. | 07-16-2009 |
| 20090196466 | Face Detection in Mid-Shot Digital Images - A method for detecting a face in a mid-shot digital image of a person comprises capturing first and second mid-shot digital images of nominally the same scene using different capture settings such that the foreground is differently differentiated from the background in each image, and comparing the first and second images to determine the foreground region of the images. A portion of the foreground region likely to correspond to a face is estimated based upon the geometry of the foreground region. | 08-06-2009 |
| 20090208056 | REAL-TIME FACE TRACKING IN A DIGITAL IMAGE ACQUISITION DEVICE - An image processing apparatus for tracking faces in an image stream iteratively receives a new acquired image from the image stream, the image potentially including one or more face regions. The acquired image is sub-sampled ( | 08-20-2009 |
| 20090238419 | FACE RECOGNITION TRAINING METHOD AND APPARATUS - A device is trained for face recognition. A first acquired digital image of a scene includes a face. Face image data is extracted and stored in a face image library along with an unique identifier. A second acquired digital image may or may not include the face of the same person as the face in the first acquired digital image. Face recognition is applied to extracted face data of the second digital image, and the face of the first digital image is displayed as a match to the face of the second digital image when the first and second images are determined to match or the second digital image or a face therein is identified with biometric data stored along with the first digital image when the faces in the first and second images are determined to match. | 09-24-2009 |
| 20090245693 | DETECTING ORIENTATION OF DIGITAL IMAGES USING FACE DETECTION INFORMATION - A method of automatically establishing the correct orientation of an image using facial information. This method is based on the exploitation of the inherent property of image recognition algorithms in general and face detection in particular, where the recognition is based on criteria that is highly orientation sensitive. By applying a detection algorithm to images in various orientations, or alternatively by rotating the classifiers, and comparing the number of successful faces that are detected in each orientation, one may conclude as to the most likely correct orientation. Such method can be implemented as an automated method or a semi automatic method to guide users in viewing, capturing or printing of images. | 10-01-2009 |
| 20090263022 | Real-Time Face Tracking in a Digital Image Acquisition Device - An image processing apparatus for tracking faces in an image stream iteratively receives an acquired image from the image stream including one or more face regions. The acquired image is sub-sampled at a specified resolution to provide a sub-sampled image. An integral image is then calculated for a least a portion of the sub-sampled image. Fixed size face detection is applied to at least a portion of the integral image to provide a set of candidate face regions. Responsive to the set of candidate face regions produced and any previously detected candidate face regions, the resolution is adjusted for sub-sampling a subsequent acquired image. | 10-22-2009 |
| 20090273685 | Foreground/Background Segmentation in Digital Images - An implementation efficient method of distinguishing between foreground and background regions of a digital image of a scene includes capturing two images of nominally the same scene and storing the captured images in DCT-coded format. The first image is taken with the foreground more in focus than the background and the second image is taken with the background more in focus than the foreground. Regions of the first image are assigned as foreground or background according to whether the sum of selected higher order DCT coefficients decreases or increases for the equivalent regions of the second image. | 11-05-2009 |
| 20090303342 | FACE TRACKING FOR CONTROLLING IMAGING PARAMETERS - A method of tracking faces in an image stream with a digital image acquisition device includes receiving images from an image stream including faces, calculating corresponding integral images, and applying different subsets of face detection rectangles to the integral images to provide sets of candidate regions. The different subsets include candidate face regions of different sizes and/or locations within the images. The different candidate face regions from different images of the image stream are each tracked. | 12-10-2009 |
| 20090303343 | LOW-LIGHT VIDEO FRAME ENHANCEMENT - A method of combining image data from multiple frames to enhance one or more parameters of video image quality includes acquiring a first image at a first exposure duration, as well as acquiring a second image at a second exposure duration shorter than the first exposure duration and at a time just before, just after or overlapping in time with acquiring the first image, such that the first and second images include approximately a same first scene. In this way, the second image is relatively sharp and under-exposed, while the first image is relatively well-exposed and less sharp than the second image. Brightness and/or color information are extracted from the first image and applied to the second image to generate an enhanced version of the second image. | 12-10-2009 |
| 20090304278 | Method and Apparatus for Red-Eye Detection in an Acquired Digital Image - A method for red-eye detection in an acquired digital image comprises acquiring a first image and analyzing the first acquired image to provide a plurality of characteristics indicative of image quality. The process then determines if one or more corrective processes can be beneficially applied to the first acquired image according to the characteristics. Any such corrective processes are then applied to the first acquired image. Red-eye defects are then detected in a second acquired image using the corrected first acquired image. Defect detection can comprise applying a chain of one or more red-eye filters to the first acquired image. In this case, prior to the detecting step, it is determined if the red-eye filter chain can be adapted in accordance with the plurality of characteristics; and the red-eye filter is adapted accordingly. | 12-10-2009 |
| 20100008577 | FOREGROUND/BACKGROUND SEGMENTATION IN DIGITAL IMAGES WITH DIFFERENTIAL EXPOSURE CALCULATIONS - A digital segmentation method and apparatus determines foreground and/or background within at least one portion of a captured image. The determining includes comparing a captured image to a pre-captured or post captured reference image of nominally the same scene. One of the images is taken with flash and the other without. The system can be implemented as part of a digital camera acquisition chain having effective computation complexity. | 01-14-2010 |
| 20100014721 | Classification System for Consumer Digital Images using Automatic Workflow and Face Detection and Recognition - A processor-based system operating according to digitally-embedded programming instructions includes a face detection module for identifying face regions within digital images. A normalization module generates a normalized version of the face region. A face recognition module automatically extracts a set of face classifier parameter values from the normalized face region that are referred to as a faceprint. A workflow module automatically compares the extracted faceprint to a database of archived faceprints previously determined to correspond to known identities. The workflow module determines based on the comparing whether the new faceprint corresponds to any of the known identities, and associates the new faceprint and normalized face region with a new or known identity within a database. A database module serves to archive data corresponding to the new faceprint and its associated parent image according to the associating by the workflow module within one or more digital data storage media. | 01-21-2010 |
| 20100039525 | Perfecting of Digital Image Capture Parameters Within Acquisition Devices Using Face Detection - Within a digital acquisition device, acquisition parameters of a digital image are perfected as part of an image capture process using face detection within said captured image to achieve one or more desired image acquisition parameters. Default values are determined of one or more image attributes of at least some portion of the digital image. Values of one or more camera acquisition parameters are determined. Groups of pixels are identified that correspond to an image of a face within the digitally-captured image. Corresponding image attributes to the groups of pixels are determined. One or more default image attribute values are compared with one or more captured image attribute values based upon analysis of the image of the face. Camera acquisition parameters are then adjusted corresponding to adjusting the image attribute values. | 02-18-2010 |
| 20100040284 | METHOD AND APPARATUS OF CORRECTING HYBRID FLASH ARTIFACTS IN DIGITAL IMAGES - A method for digital image eye artifact detection and correction include identifying one or more candidate red-eye defect regions in an acquired image. For one or more candidate red-eye regions, a seed pixels and/or a region of pixels having a high intensity value in the vicinity of the candidate red-eye region is identified. The shape, roundness or other eye-related characteristic of a combined hybrid region including the candidate red-eye region and the region of high intensity pixels is analyzed. Based on the analysis of the eye-related characteristic of the combined hybrid region, it is determined whether to apply flash artifact correction, including red eye correction of the candidate red-eye region and/or correction of the region of high intensity pixels. | 02-18-2010 |
| 20100054533 | Digital Image Processing Using Face Detection Information - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 03-04-2010 |
| 20100054549 | Digital Image Processing Using Face Detection Information - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 03-04-2010 |
| 20100066822 | CLASSIFICATION AND ORGANIZATION OF CONSUMER DIGITAL IMAGES USING WORKFLOW, AND FACE DETECTION AND RECOGNITION - A processor-based system operating according to digitally-embedded programming instructions performs a method including identifying a group of pixels corresponding to a face region within digital image data acquired by an image acquisition device. A set of face analysis parameter values is extacted from said face region, including a faceprint associated with the face region. First and second reference faceprints are determined for a person using reference images captured respectively in predetermined face-portrait conditions and using ambient conditions. The faceprints are analyzed to determine a baseline faceprint and a range of variability from the baseline associated with the person. Results of the analyzing are stored and used in subsequent recognition of the person in a subsequent image acquired under ambient conditions. | 03-18-2010 |
| 20100092039 | Digital Image Processing Using Face Detection Information - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 04-15-2010 |
| 20100141798 | Detection and Removal of Blemishes in Digital Images Utilizing Original Images of Defocused Scenes - A method automatically corrects dust artifact within image acquired by a system including a digital acquisition device including a lens assembly and a translucent lens cap. Multiple original digital images are acquired with the digital acquisition device. Probabilities that certain pixels correspond to dust artifact regions within the images are determined based at least in part on a comparison of suspected dust artifact regions within two or more of the images. Probable dust artifact regions are associated with extracted parameter values relating to the lens assembly when the images were acquired, A statistical dust map is formed including mapped dust regions based on the determining and associating. Pixels corresponding to correlated dust artifact regions are corrected within further digitally-acquired images based on the associated statistical dust map. | 06-10-2010 |
| 20100146165 | REMOTE CONTROL APPARATUS FOR CONSUMER ELECTRONIC APPLIANCES - An apparatus for the remote wireless control of a consumer electronic audio visual appliance such as a TV set, and/or for internet uploading, includes a remote control handset and a wireless receiver for connection to the appliance. The remote control unit is adapted to transmit audio and/or visual data (A/V data) and control codes to the receiver. The receiver is responsive to the A/V data and control codes to control the appliance to play and/or display the A/V data. The remote control unit includes a reader for a storage medium for A/V data, or a cable or wireless interface to an A/V acquisition device such as digital video or digital still camera or digital music player or recorder. | 06-10-2010 |
| 20100149371 | Foreground/Background Segmentation in Digital Images - An analysis and classification tool compares at least a portion of a captured image and a reference image of nominally the same scene. One of the captured and reference images is taken with flash and the other is taken without flash. The tool provides a measure of the difference in illumination between the captured image and the reference image. The tool compares the measure with a threshold and segments a foreground region from a background region based on the measure. | 06-17-2010 |
| 20100165140 | DIGITAL IMAGE ADJUSTABLE COMPRESSION AND RESOLUTION USING FACE DETECTION INFORMATION - A method of adjustable spatial and/or temporal compression of an image including a face includes identifying a group of pixels that correspond to a face within a digitally-acquired image. A first compression portion of the image including the group of pixels is determined. A second compression portion of the image other than the group of pixels is also determined. The first compression portion may be automatically compressed with higher-grade compression than the second compression portion to generate a compressed image including the face, or an option to provided the compressed image including the different grade compressions may be provided. | 07-01-2010 |
| 20100165150 | DETECTING ORIENTATION OF DIGITAL IMAGES USING FACE DETECTION INFORMATION - A method of automatically establishing the correct orientation of an image using facial information. This method is based on the exploitation of the inherent property of image recognition algorithms in general and face detection in particular, where the recognition is based on criteria that is highly orientation sensitive. By applying a detection algorithm to images in various orientations, or alternatively by rotating the classifiers, and comparing the number of successful faces that are detected in each orientation, one may conclude as to the most likely correct orientation. Such method can be implemented as an automated method or a semi automatic method to guide users in viewing, capturing or printing of images. | 07-01-2010 |
| 20100182458 | DIGITAL IMAGE ACQUISITION SYSTEM WITH PORTRAIT MODE - A digital image acquisition system having no photographic film comprises an apparatus for capturing digital images and a flash unit for providing illumination during image capture. The system has a portrait mode for generating an image of a foreground object against a blurred background, the portrait mode being operable to capture first, second and third images (A, B and C) of nominally the same scene. One of the first and second images (A, B) is taken with flash and the other is taken without flash, and the third image (C) is blurred compared to the first and second images. The portrait mode is further operable to determine foreground and background regions of the scene using the first and second images (A, B), and to substitute the blurred background of the third image (C) for the background of an in-focus image of the scene. In one embodiment the in-focus image is one of the first and second images. In another embodiment the in-focus image is a fourth image. | 07-22-2010 |
| 20100188525 | Perfecting the Effect of Flash within an Image Acquisition Devices Using Face Detection - Within a digital acquisition device with a built in flash unit, the exposure of an acquired digital image is perfected using face detection in the acquired image is provided. Groups of pixels that correspond to plural images of faces are identified within a digitally acquired image, and corresponding image attributes to the group of pixels are determined. An analysis is performed of the corresponding attributes of the groups of pixels. It is then determined to activate the built-in flash unit based on the analysis. An intensity of the built-in flash unit is determined based on the analysis. Alternatively based on similar analysis, a digital simulation of the fill flash is performed on the image. | 07-29-2010 |
| 20100188530 | Perfecting the Effect of Flash within an Image Acquisition Devices Using Face Detection - Within a digital acquisition device with a built in flash unit, the exposure of an acquired digital image is perfected using face detection in the acquired image is provided. Groups of pixels that correspond to plural images of faces are identified within a digitally acquired image, and corresponding image attributes to the group of pixels are determined. An analysis is performed of the corresponding attributes of the groups of pixels. It is then determined to activate the built-in flash unit based on the analysis. An intensity of the built-in flash unit is determined based on the analysis. Alternatively based on similar analysis, a digital simulation of the fill flash is performed on the image. | 07-29-2010 |
| 20100194895 | Digital Image Acquisition Device with Built in Dust and Sensor Mapping Capability - A digital image acquisition device has an image acquisition sensor, a shutter, an aperture and optical elements for focusing an image on the sensor. The device includes a light source located in the body of the device. The light source is periodically activated with one of the aperture or shutter closed, and the device derives a map of defects on the surface of the sensor from a calibration image acquired by the sensor when illuminated by the light source. | 08-05-2010 |
| 20100201826 | METHOD OF DETERMINING PSF USING MULTIPLE INSTANCES OF A NOMINALLY SIMILAR SCENE - A digital image acquisition system includes a portable apparatus for capturing digital images and a digital processing component for detecting, analyzing and informing the photographer regarding motion blur, and for reducing camera motion blur in an image captured by the apparatus. The digital processing component operates by comparing the image with at least one other image, for example a preview image, of nominally the same scene taken outside the exposure period of the main image. In one embodiment the digital processing component identifies at least one feature in a single preview image which is relatively less blurred than the corresponding feature in the main image, calculates a point spread function (PSF) in respect of such feature, and de-convolves the main image using the PSF. In another embodiment, the digital processing component calculates a trajectory of at least one feature in a plurality of preview images, extrapolates such feature on to the main image, calculates a PSF in respect of the feature, and de-convolves the main image using the PSF. In another embodiment the digital processing unit after determining the degree of blur notifies the photographer of the existing blur or automatically invokes consecutive captures. | 08-12-2010 |
| 20100201827 | METHOD AND APPARATUS FOR INITIATING SUBSEQUENT EXPOSURES BASED ON DETERMINATION OF MOTION BLURRING ARTIFACTS - A digital image acquisition system includes a portable apparatus for capturing digital images and a digital processing component for detecting, analyzing, invoking subsequent image captures and informing the photographer regarding motion blur, and for reducing camera motion blur in an image captured by the apparatus. The digital processing component operates by comparing the image with at least one other image, for example a preview image, of nominally the same scene taken outside the exposure period of the main image. In one embodiment the digital processing component identifies at least one feature in a single preview image which is relatively less blurred than the corresponding feature in the main image, calculates a point spread function (PSF) in respect of such feature, and initiates a subsequent capture if determined that the motion blur exceeds a certain threshold. In another embodiment the digital processing determines the degree of blur by analyzing the motion blur in the captured image itself, and initiates a subsequent capture if determined that the motion blur exceeds a certain threshold. Such real time analysis may use the auto focusing mechanism to qualitatively determine the PSF. | 08-12-2010 |
| 20100202707 | Method and Component for Image Recognition - A method and system for image recognition in a collection of digital images includes training image classifiers and retrieving a sub-set of images from the collection. For each image in the collection, any regions within the image that correspond to a face are identified. For each face region and any associated peripheral region, feature vectors are determined for each of the image classifiers. The feature vectors are stored in association with data relating to the associated face region. At least one reference region including a face to be recognized is/are selected from an image. At least one classifier on which said retrieval is to be based is/are selected from the image classifiers. A respective feature vector for each selected classifier is determined for the reference region. The sub-set of images is retrieved from within the image collection in accordance with the distance between the feature vectors determined for the reference region and the feature vectors for face regions of the image collection. | 08-12-2010 |
| 20100220899 | METHOD OF IMPROVING ORIENTATION AND COLOR BALANCE OF DIGITAL IMAGES USING FACE DETECTION INFORMATION - A method of generating one or more new spatial and chromatic variation digital images uses an original digitally-acquired image which including a face or portions of a face. A group of pixels that correspond to a face within the original digitally-acquired image is identified. A portion of the original image is selected to include the group of pixels. Values of pixels of one or more new images based on the selected portion are automatically generated, or an option to generate them is provided, in a manner which always includes the face within the one or more new images. Such method may be implemented to automatically establish the correct orientation and color balance of an image. Such method can be implemented as an automated method or a semi automatic method to guide users in viewing, capturing or printing of images. | 09-02-2010 |
| 20100231727 | DIGITAL CAMERA WITH BUILT-IN LENS CALIBRATION TABLE - A digital camera that automatically corrects dust artifact regions within acquired images by compiling a dust map includes an optical system for acquiring an image with a corresponding dust calibration table for such optical system, including a lens assembly and an aperture stop, in which the corresponding dust calibration map can reside. A transformation between the dust map and the specific lens calibration table, enables the use for a single dust map in multiple instances of lenses and focal length, without the need to recalibrate the digital camera for each instance. | 09-16-2010 |
| 20100259622 | Determination of need to service a camera based on detection of blemishes in digital images - A method of automatically determining a need to service a digital image acquisition system including a digital camera with a lens assembly includes analyzing pixels within one or more acquired digital images according to probability determinations that such pixels correspond to blemish artifacts. It is automatically determined whether a threshold distribution of blemish artifacts is present within one or more of the digital images. A need for service is indicated when at least the threshold distribution is determined to be present. | 10-14-2010 |
| 20100262827 | Secure Storage Device For Transfer Of Data - Described herein are methods and devices of securing data. For example, a method of securing data comprises receiving, by a secure storage device, unsecure data from a source. The secure storage device is removably attached to the source. The method further comprises securing the unsecure data within the secure storage device by performing digital processing related to the unsecure data to create secure data. The secure storage device is responsive to the same protocol as an unsecure storage device and as a result the secure storage device is transparent to the source. The source responds to the secure storage device as if it were an unsecure storage device. | 10-14-2010 |
| 20100271499 | Perfecting of Digital Image Capture Parameters Within Acquisition Devices Using Face Detection - Within a digital acquisition device, acquisition parameters of a digital image are perfected as part of an image capture process using face detection within said captured image to achieve one or more desired image acquisition parameters. Default values are determined of one or more image attributes of at least some portion of the digital image. Values of one or more camera acquisition parameters are determined. Groups of pixels are identified that correspond to an image of a face within the digitally-captured image. Corresponding image attributes to the groups of pixels are determined. One or more default image attribute values are compared with one or more captured image attribute values based upon analysis of the image of the face. Camera acquisition parameters are then adjusted corresponding to adjusting the image attribute values. | 10-28-2010 |
| 20100272363 | FACE SEARCHING AND DETECTION IN A DIGITAL IMAGE ACQUISITION DEVICE - A method of detecting a face in an image includes performing face detection within a first window of the image at a first location. A confidence level is obtained from the face detection indicating a probability of the image including a face at or in the vicinity of the first location. Face detection is then performed within a second window at a second location, wherein the second location is determined based on the confidence level. | 10-28-2010 |
| 20100295959 | RED-EYE FILTER METHOD AND APPARATUS - A digital image acquisition system having no photographic film, such as a digital camera, has a flash unit for providing illumination during image capture and a red-eye filter for detecting a region within a captured image indicative of a red-eye phenomenon, the detection being based upon a comparison of the captured image and a reference image of nominally the same scene taken without flash. In the embodiment the reference image is a preview image of lower pixel resolution than the captured image, the filter matching the pixel resolutions of the captured and reference images by up-sampling the preview image and/or sub-sampling the captured image. The filter also aligns at least portions of the captured image and reference image prior to comparison to allow for, e.g. movement in the subject. | 11-25-2010 |
| 20100321537 | Image Defect Map Creation Using Batches of Digital Images - A method of automatically determining a need to service a digital image acquisition system including a digital camera with a lens assembly includes analyzing pixels within one or more acquired digital images according to probability determinations that such pixels correspond to blemish artifacts. It is automatically determined whether a threshold distribution of blemish artifacts is present within one or more of the digital images. A need for service is indicated when at least the threshold distribution is determined to be present. | 12-23-2010 |
| 20100328472 | Method of Notifying Users Regarding Motion Artifacts Based on Image Analysis - A digital image acquisition system includes a portable apparatus for capturing digital images and a digital processing component for detecting, analyzing and informing the photographer regarding motion blur, and for reducing camera motion blur in an image captured by the apparatus. The digital processing component operates by comparing the image with at least one other image, for example a preview image, of nominally the same scene taken outside the exposure period of the main image. In one embodiment the digital processing component determines the degree of artifacts and whether to inform the user that the image is blurred by identifying at least one feature in a single preview image which is relatively less blurred than the corresponding feature in the main image. In another embodiment, the digital processing component calculates a trajectory of at least one feature in a plurality of preview images, extrapolates such feature on to the main image, calculates a PSF in respect of the feature, and informs the user based on the calculated PSF. In another embodiment the digital processing unit after determining the degree of blur notifies the photographer of the existing blur or automatically invokes consecutive captures. In another embodiment, the digital processing unit determines whether the image quality is acceptable from real time analysis of the captured image and provides this information to the user. Such real time analysis may use the auto focusing mechanism to qualitatively determine the PSF. | 12-30-2010 |
| 20100328486 | Foreground/Background Segmentation in Digital Images with Differential Exposure Calculations - A digital segmentation method and apparatus determines foreground and/or background within at least one portion of a captured image. The determining includes comparing a captured image to a pre-captured or post captured reference image of nominally the same scene. One of the images is taken with flash and the other without. The system can be implemented as part of a digital camera acquisition chain having effective computation complexity. | 12-30-2010 |
| 20100329549 | Foreground/Background Separation in Digital Images - A method for providing improved foreground/background separation in a digital image of a scene is disclosed. The method comprises providing a first map comprising one or more regions provisionally defined as one of foreground or background within the digital image; and providing a subject profile corresponding to a region of interest of the digital image. The provisionally defined regions are compared with the subject profile to determine if any of the regions intersect with the profile region. The definition of one or more of the regions in the map is changed based on the comparison. | 12-30-2010 |
| 20110002545 | DIGITAL IMAGE PROCESSING USING FACE DETECTION INFORMATION - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 01-06-2011 |
| 20110013043 | Digital Image Processing Using Face Detection and Skin Tone Information - A technique for processing a digital image uses face detection to achieve one or more desired image processing parameters. A group of pixels is identified that corresponds to a face image within the digital image. A skin tone is detected for the face image by determining one or more default color or tonal values, or combinations thereof, for the group of pixels. Values of one or more parameters are adjusted for the group of pixels that correspond to the face image based on the detected skin tone. | 01-20-2011 |
| 20110013044 | PERFECTING THE EFFECT OF FLASH WITHIN AN IMAGE ACQUISITION DEVICES USING FACE DETECTION - Within a digital acquisition device with a built in flash unit, the exposure of an acquired digital image is perfected using face detection in the acquired image is provided. Groups of pixels that correspond to plural images of faces are identified within a digitally acquired image, and corresponding image attributes to the group of pixels are determined. An analysis is performed of the corresponding attributes of the groups of pixels. It is then determined to activate the built-in flash unit based on the analysis. An intensity of the built-in flash unit is determined based on the analysis. Alternatively based on similar analysis, a digital simulation of the fill flash is performed on the image. | 01-20-2011 |
| 20110025859 | Foreground/Background Segmentation in Digital Images - An analysis and classification tool compares at least a portion of a captured image and a reference image of nominally the same scene. One of the captured and reference images is taken with flash and the other is taken without flash. The tool provides a measure of the difference in illumination between the captured image and the reference image. The tool compares the measure with a threshold and segments a foreground region from a background region based on the measure. | 02-03-2011 |
| 20110025886 | Perfecting the Effect of Flash within an Image Acquisition Devices Using Face Detection - Within a digital acquisition device with a built in flash unit, the exposure of an acquired digital image is perfected using face detection in the acquired image is provided. Groups of pixels that correspond to plural images of faces are identified within a digitally acquired image, and corresponding image attributes to the group of pixels are determined. An analysis is performed of the corresponding attributes of the groups of pixels. It is then determined to activate the built-in flash unit based on the analysis. An intensity of the built-in flash unit is determined based on the analysis. Alternatively based on similar analysis, a digital simulation of the fill flash is performed on the image. | 02-03-2011 |
| 20110026780 | FACE TRACKING FOR CONTROLLING IMAGING PARAMETERS - A method of tracking faces in an image stream with a digital image acquisition device includes receiving images from an image stream including faces, calculating corresponding integral images, and applying different subsets of face detection rectangles to the integral images to provide sets of candidate regions. The different subsets include candidate face regions of different sizes and/or locations within the images. The different candidate face regions from different images of the image stream are each tracked. | 02-03-2011 |
| 20110033112 | METHOD AND APPARATUS FOR SELECTIVE DISQUALIFICATION OF DIGITAL IMAGES - An unsatisfactory scene is disqualified as an image acquisition control for a camera. An image is acquired. One or more eye regions are determined. The eye regions are analyzed to determine whether they are blinking, and if so, then the scene is disqualified as a candidate for a processed, permanent image while the eye is completing the blinking. | 02-10-2011 |
| 20110055354 | Server Device, User Interface Appliance, and Media Processing Network - Components for a control and data processing infrastructure for multiple networked media peripherals are based on chained device connections using a transport-layer independent asymmetric control protocol such as PTP. These components provide a user interface which mirrors the chain of device connections, provides remote access to the media data distributed across said connected devices, can respond to events originating from members of the device chain and enables control and management of the underlying media processing capabilities of the connected devices. | 03-03-2011 |
| 20110058058 | DIGITAL IMAGE ACQUISITION CONTROL AND CORRECTION METHOD AND APPARATUS - An unsatisfactory scene is disqualified as an image acquisition control for a camera. An image is acquired. One or more mouth regions are determined. The mouth regions are analyzed to determined whether they are frowning, and if so, then the scene is disqualified as a candidate for a processed, permanent image while the mouth is completing the frowning. | 03-10-2011 |
| 20110058060 | Face Recognition Training Method and Apparatus - A device is trained for face recognition. A first acquired digital image of a scene includes a face. Face image data is extracted and stored in a face image library along with an unique identifier. A second acquired digital image may or may not include the face of the same person as the face in the first acquired digital image. Face recognition is applied to extracted face data of the second digital image, and the face of the first digital image is displayed as a match to the face of the second digital image when the first and second images are determined to match or the second digital image or a face therein is identified with biometric data stored along with the first digital image when the faces in the first and second images are determined to match. | 03-10-2011 |
| 20110058069 | Detecting Red Eye Filter and Apparatus Using Meta-Data - A method of filtering a red-eye phenomenon from an acquired digital image including a multiplicity of pixels indicative of color, the pixels forming various shapes of the image, includes analyzing meta-data information, determining one or more regions within the digital image suspected as including red eye artifact, and determining, based at least in part on the meta-data analysis, whether the regions are actual red eye artifact. The meta-data information may include information describing conditions under which the image was acquired, captured and/or digitized, acquisition device-specific information, and/film information. | 03-10-2011 |
| 20110058071 | Detecting Red Eye Filter and Apparatus Using Meta-Data - A method of filtering a red-eye phenomenon from an acquired digital image including a multiplicity of pixels indicative of color, the pixels forming various shapes of the image, includes analyzing meta-data information, determining one or more regions within the digital image suspected as including red eye artifact, and determining, based at least in part on the meta-data analysis, whether the regions are actual red eye artifact. The meta-data information may include information describing conditions under which the image was acquired, captured and/or digitized, acquisition device-specific information, and/film information. | 03-10-2011 |
| 20110060836 | Method for Establishing a Paired Connection Between Media Devices - A method for establishing a paired connection between first and second media devices across a network includes transmitting a first information message across the network including an identifier that includes a request to pair the first and second media devices. When a second information message is received from the second media device within a first predetermined time period, the first device retrieves an identifier of the second device and transmits a confirmation message across the network including the device identifiers. A paired connection between the media devices is completed after a corresponding confirmation message from the second device is received within a second predetermined time period. | 03-10-2011 |
| 20110063465 | Analyzing Partial Face Regions for Red-Eye Detection in Acquired Digital Images - A method for red-eye detection in an acquired digital image includes acquiring a first image, and analyzing one or more partial face regions within the first image. One or more characteristics of the first image are determined. One or more corrective processes are identified including red eye correction that can be beneficially applied to the first image according to the one or more characteristics. The one or more corrective processes are applied to the first image. | 03-17-2011 |
| 20110064329 | DETECTING ORIENTATION OF DIGITAL IMAGES USING FACE DETECTION INFORMATION - A method of automatically establishing the correct orientation of an image using facial information. This method is based on the exploitation of the inherent property of image recognition algorithms in general and face detection in particular, where the recognition is based on criteria that is highly orientation sensitive. By applying a detection algorithm to images in various orientations, or alternatively by rotating the classifiers, and comparing the number of successful faces that are detected in each orientation, one may conclude as to the most likely correct orientation. Such method can be implemented as an automated method or a semi automatic method to guide users in viewing, capturing or printing of images. | 03-17-2011 |
| 20110069182 | Two Stage Detection For Photographic Eye Artifacts - A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector. | 03-24-2011 |
| 20110069186 | Detecting Red Eye Filter and Apparatus Using Meta-Data - A method of filtering a red-eye phenomenon from an acquired digital image including a multiplicity of pixels indicative of color, the pixels forming various shapes of the image, includes analyzing meta-data information, determining one or more regions within the digital image suspected as including red eye artifact, and determining, based at least in part on the meta-data analysis, whether the regions are actual red eye artifact. The meta-data information may include information describing conditions under which the image was acquired, captured and/or digitized, acquisition device-specific information, and/film information. | 03-24-2011 |
| 20110069207 | Method of Determining PSF Using Multiple Instances of a Nominally Similar Scene - A digital image acquisition system includes a portable apparatus for capturing digital images and a digital processing component for detecting, analyzing and informing the photographer regarding motion blur, and for reducing camera motion blur in an image captured by the apparatus. The digital processing component operates by comparing the image with at least one other image, for example a preview image, of nominally the same scene taken outside the exposure period of the main image. In one embodiment the digital processing component identifies at least one feature in a single preview image which is relatively less blurred than the corresponding feature in the main image, calculates a point spread function (PSF) in respect of such feature, and de-convolves the main image using the PSF. In another embodiment, the digital processing component calculates a trajectory of at least one feature in a plurality of preview images, extrapolates such feature on to the main image, calculates a PSF in respect of the feature, and de-convolves the main image using the PSF. In another embodiment the digital processing unit after determining the degree of blur notifies the photographer of the existing blur or automatically invokes consecutive captures. | 03-24-2011 |
| 20110069208 | Two Stage Detection For Photographic Eye Artifacts - A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector. | 03-24-2011 |
| 20110074975 | Detecting Red Eye Filter and Apparatus Using Meta-Data - A method of filtering a red-eye phenomenon from an acquired digital image including a multiplicity of pixels indicative of color, the pixels forming various shapes of the image, includes analyzing meta-data information, determining one or more regions within the digital image suspected as including red eye artifact, and determining, based at least in part on the meta-data analysis, whether the regions are actual red eye artifact. The meta-data information may include information describing conditions under which the image was acquired, captured and/or digitized, acquisition device-specific information, and film information. | 03-31-2011 |
| 20110074985 | Method and Apparatus of Correcting Hybrid Flash Artifacts in Digital Images - A method for digital image eye artifact detection and correction include identifying one or more candidate red-eye defect regions in an acquired image. For one or more candidate red-eye regions, a seed pixels and/or a region of pixels having a high intensity value in the vicinity of the candidate red-eye region is identified. The shape, roundness or other eye-related characteristic of a combined hybrid region including the candidate red-eye region and the region of high intensity pixels is analyzed. Based on the analysis of the eye-related characteristic of the combined hybrid region, it is determined whether to apply flash artifact correction, including red eye correction of the candidate red-eye region and/or correction of the region of high intensity pixels. | 03-31-2011 |
| 20110075894 | Digital Image Processing Using Face Detection Information - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 03-31-2011 |
| 20110075895 | Digital Image Processing Using Face Detection Information - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 03-31-2011 |
| 20110078348 | Remote Control Apparatus for Consumer Electronic Appliances - An apparatus for the remote wireless control of a consumer electronic audio visual appliance such as a TV set, and/or for internet uploading, includes a remote control handset and a wireless receiver for connection to the appliance. The remote control unit is adapted to transmit audio and/or visual data (A/V data) and control codes to the receiver. The receiver is responsive to the A/V data and control codes to control the appliance to play and/or display the A/V data. The remote control unit includes a reader for a storage medium for A/V data, or a cable or wireless interface to an A/V acquisition device such as digital video or digital still camera or digital music player or recorder. | 03-31-2011 |
| 20110080499 | RED-EYE FILTER METHOD AND APPARATUS - A digital image acquisition system having no photographic film, such as a digital camera, has a flash unit for providing illumination during image capture and a red-eye filter for detecting a region within a captured image indicative of a red-eye phenomenon, the detection being based upon a comparison of the captured image and a reference image of nominally the same scene taken without flash. In the embodiment the reference image is a preview image of lower pixel resolution than the captured image, the filter matching the pixel resolutions of the captured and reference images by up-sampling the preview image and/or sub-sampling the captured image. The filter also aligns at least portions of the captured image and reference image prior to comparison to allow for, e.g. movement in the subject. | 04-07-2011 |
| 20110090363 | Two Stage Detection For Photographic Eye Artifacts - A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector. | 04-21-2011 |
| 20110096187 | Digital Image Processing Using Face Detection Information - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values. | 04-28-2011 |
| 20110102628 | Foreground/Background Segmentation in Digital Images - An implementation efficient method of distinguishing between foreground and background regions of a digital image of a scene comprises capturing two images of nominally the same scene and storing the captured images in DCT-coded format, the first image being taken with the foreground more in focus than the background and the second image being taken with the background more in focus than the foreground. Regions of the first image are assigned as foreground or background according to whether the sum of selected higher order DCT coefficients decreases or increases for the equivalent regions of the second image. | 05-05-2011 |
| 20110102643 | Partial Face Detector Red-Eye Filter Method and Apparatus - A digital camera has an integral flash and stores and displays a digital image. Under certain conditions, a flash photograph taken with the camera may result in a red-eye phenomenon due to a reflection within an eye of a subject of the photograph. A digital apparatus has a red-eye filter which analyzes at least one partial face region identified within the digital image for the red-eye phenomenon and modifies the image to eliminate the red-eye phenomenon by changing the red area to black. The modification of the image is enabled when a photograph is taken under conditions indicative of the red-eye phenomenon. The modification is subject to anti-falsing analysis which further examines the area around the red-eye area for indicia of the eye of the subject. The detection and correction can be optimized for performance and quality by operating on subsample versions of the image when appropriate. | 05-05-2011 |
| 20110115928 | Image Acquisition Method and Apparatus - An image acquisition sensor of a digital image acquisition apparatus is coupled to imaging optics for acquiring a sequence of images. Images acquired by the sensor are stored. A motion detector causes the sensor to cease capture of an image when the degree of movement in acquiring the image exceeds a threshold. A controller selectively transfers acquired images for storage. A motion extractor determines motion parameters of a selected, stored image. An image re-constructor corrects the selected image with associated motion parameters. A selected plurality of images nominally of the same scene are merged and corrected by the image re-constructor to produce a high quality image of the scene. | 05-19-2011 |
| 20110115949 | Two Stage Detection for Photographic Eye Artifacts - An image acquisition device includes a first speed-optimized filter for producing a first set of candidate red-eye regions for an acquired image; and a second analysis-optimized filter for operating on the first set of candidate red eye regions and the acquired image. | 05-19-2011 |
| 20110122297 | METHOD AND APPARATUS FOR DETECTION AND CORRECTION OF FLASH-INDUCED EYE DEFECTS WITHIN DIGITAL IMAGES USING PREVIEW OR OTHER REFERENCE IMAGES - A method for red-eye detection in an acquired digital image acquiring one or more preview or other reference images without a flash. Any red regions that exist within the one or more reference images are determined. A main image is acquired with a flash of approximately a same scene as the one or more reference images. The main image is analyzed to determine any candidate red eye defect regions that exist within the main image. Any red regions determined to exist within the one or more reference images are compared with any candidate red eye defect regions determined to exist within the main image. Any candidate red eye defect regions within the main image corresponding to red regions determined also to exist within the one or more reference images are removed as candidate red eye defect regions. | 05-26-2011 |
| 20110129121 | REAL-TIME FACE TRACKING IN A DIGITAL IMAGE ACQUISITION DEVICE - An image processing apparatus for tracking faces in an image stream iteratively receives an acquired image from the image stream potentially including one or more face regions. The acquired image is sub-sampled at a specified resolution to provide a sub-sampled image. An integral image is then calculated for a least a portion of the sub-sampled image. Fixed size face detection is applied to at least a portion of the integral image to provide a set of candidate face regions. Responsive to the set of candidate face regions produced and any previously detected candidate face regions, the resolution is adjusted for sub-sampling a subsequent acquired image. | 06-02-2011 |
| 20110134271 | Detecting Red Eye Filter and Apparatus Using Meta-Data - A method of filtering a red-eye phenomenon from an acquired digital image including a multiplicity of pixels indicative of color, the pixels forming various shapes of the image, includes analyzing meta-data information, determining one or more regions within the digital image suspected as including red eye artifact, and determining, based at least in part on the meta-data analysis, whether the regions are actual red eye artifact. The meta-data information may include information describing conditions under which the image was acquired, captured and/or digitized, acquisition device-specific information, and film information. | 06-09-2011 |
| 20110134287 | RED-EYE FILTER METHOD AND APPARATUS - A digital image acquisition system having no photographic film, such as a digital camera, has a flash unit for providing illumination during image capture and a red-eye filter for detecting a region within a captured image indicative of a red-eye phenomenon, the detection being based upon a comparison of the captured image and a reference image of nominally the same scene taken without flash. In the embodiment the reference image is a preview image of lower pixel resolution than the captured image, the filter matching the pixel resolutions of the captured and reference images by up-sampling the preview image and/or sub-sampling the captured image. The filter also aligns at least portions of the captured image and reference image prior to comparison to allow for, e.g. movement in the subject. | 06-09-2011 |
| 20110157408 | Foreground/Background Segmentation in Digital Images with Differential Exposure Calculations - A digital segmentation method and apparatus determines foreground and/or background within at least one portion of a captured image. The determining includes comparing a captured image to a pre-captured or post captured reference image of nominally the same scene. One of the images is taken with flash and the other without. The system can be implemented as part of a digital camera acquisition chain having effective computation complexity. | 06-30-2011 |
