Patent application number | Description | Published |
20080231713 | Handheld Article with Movement Discrimination - A digital camera has a pair of angular rate-sensing gyroscopic sensors with mutually perpendicular axes and an electronic circuit responsive to the sensor output signals to discriminate between voluntary and involuntary movements of the article as a function of the number of zero crossings per unit time of the signal and the average of the absolute amplitude of the signal. | 09-25-2008 |
20080309770 | METHOD AND APPARATUS FOR SIMULATING A CAMERA PANNING EFFECT - A digital image acquisition system determines a motion function of a subject/object in an acquired image scene based on a comparison of a reference image of nominally the same scene taken outside the exposure period of the acquired image and at least one other image. The acquired image is segmented into a foreground portion and a background portion and a background portion of the acquired image is convolved according to the motion function. The foreground portion and the convolved background portion are composited to produce a final image in which panning of a camera during image acquisition is simulated. | 12-18-2008 |
20090179999 | Image Processing Method and Apparatus - 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. | 07-16-2009 |
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 |
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 |
20100053362 | 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. | 03-04-2010 |
20100053367 | PARTIAL FACE TRACKER FOR RED-EYE FILTER METHOD AND APPARATUS - An image acquisition device includes a flash and optical system for capturing digital images. A partial face tracker identifies partial face regions within a series of one or more relatively low resolution reference images, and predicts partial face regions within a main digital image. A red-eye filter for modifies an area within the main digital image indicative of a red-eye phenomenon based on an analysis of the partial face regions identified and predicted by the partial face tracker. | 03-04-2010 |
20100053368 | FACE TRACKER AND PARTIAL FACE TRACKER FOR RED-EYE FILTER METHOD AND APPARATUS - An image acquisition device includes a flash and optical system for capturing digital images. A face tracker identifies face regions within a series of one or more relatively low resolution reference images, and predicts face regions within a main digital image. A face analyzer determines one or more partial face regions within the one or more face regions each including at least one eye. A red-eye filter modifies an area within the main digital image indicative of a red-eye phenomenon based on an analysis of one or more partial face regions within the one or more face regions identified and predicted by the face tracker. | 03-04-2010 |
20100054592 | 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. | 03-04-2010 |
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 |
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 |
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 |
20100238309 | Handheld Article with Movement Discrimination - A digital camera | 09-23-2010 |
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 |
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 |
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 |
20110050938 | METHODS AND APPARATUSES FOR FOREGROUND, TOP-OF-THE-HEAD SEPARATION FROM BACKGROUND - Foreground and background regions of a digital image of a scene are distinguished from each other automatically. Foreground objects are identified in a binary image map that distinguishes between foreground pixels and background pixels. From the foreground objects, a primary foreground object is identified. Within the identified primary foreground object, a head region of the primary foreground object is located. Within the head region, patterns of foreground pixels and background pixels that are indicative of a head crown region are identified. Within the head crown region, pixels identified as background pixels that actually show portions of the primary foreground object are converted to foreground pixels, thus improving the accuracy of the binary image map. | 03-03-2011 |
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 |
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 |
20110205381 | TONE MAPPING FOR LOW-LIGHT VIDEO FRAME ENHANCEMENT - A technique is provided for generating sharp, well-exposed, color images from low-light images. A series of under-exposed images is acquired. A mean image is computed and a sum image is generated each based on the series of under-exposed images. Chrominance variables of pixels of the mean image are mapped to chrominance variables of pixels of the sum image. Chrominance values of pixels within the series of under-exposed images are replaced with chrominance values of the sum image. A set of sharp, well-exposed, color images is generated based on the series of under-exposed images with replaced chrominance values. | 08-25-2011 |
20110221936 | Method and Apparatus for Detection and Correction of Multiple Image 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. | 09-15-2011 |
20110243439 | Image Processing Method and Apparatus - A method of processing an image includes traversing pixels of an image in a single pass over the image. An inverting function is applied to the pixels. A recursive filter is applied to the inverted pixel values. The filter has parameters which are derived from previously traversed pixel values of the image. A pixel value is combined with a filter parameter for the pixel to provide a processed pixel value for a processed image. | 10-06-2011 |
20120014600 | 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. | 01-19-2012 |
20120069198 | 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. | 03-22-2012 |
20120069222 | 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. | 03-22-2012 |
20130010138 | Digital Camera with an Image Processor - A method operable in a digital image acquisition system having no photographic film is provided. The method comprises receiving a relatively low resolution image of a scene from an image stream, wherein the scene potentially includes one or more faces. At least one high quality face classifier is applied to the image to identify relatively large and medium sized face regions and at least one relaxed face classifier is applied to the image to identify relatively small sized face regions. A relatively high resolution image of nominally the same scene is received and at least one high quality face classifier is applied to the identified small sized face regions in the higher resolution version of said image. | 01-10-2013 |
20130208979 | 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. | 08-15-2013 |
20130208995 | 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. | 08-15-2013 |
20140078322 | 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. | 03-20-2014 |