Patent application number | Description | Published |
20090162044 | METHOD OF AUTOMATICALLY ADJUSTING THE DEPTH OF FIELD - A method of automatically adjusting a depth of field, suitable for adjusting settings relevant to the depth of field when pre-shooting an image to be shot through a digital camera, includes capturing an image to be shot; dividing the image into a plurality of detected blocks; performing a statistic process for an object distance on each detected block, and recording an object distance value of each detected block; generating an object-distance cumulative curve according to the object distance value of each detected block; performing a smoothing process to eliminate peak curves generated in the object-distance cumulative curve; looking up a mode of all the object distance values and a corresponding detected block according to the object-distance cumulative curve; adjusting corresponding aperture and focal length of the digital camera according to the corresponding detected block. The user shoots images at different sites without adjusting the digital camera into corresponding shoot mode. | 06-25-2009 |
20090166441 | METHOD FOR AUTOMATICALLY RECTIFYING BUSINESS CARD PRESENTATION ANGLE - A method for automatically rectifying business card presentation angle is described. The method is applicable to a mobile electronic device to automatically rectify a presentation angle of a shot business card image. Firstly, maintain character pixels of the shot business card image, and divide the character pixels into character groups by determining whether the pixel pitch is larger than a predetermined value. Next, obtain a first axis and a second axis of the character groups. After that, calculate an included angle formed between the first axis and the second axis, and adjust the oblique character groups through angles obtained for correction. Then, adjust aspect ratios of all the character groups after angle correction according to appropriate character aspect ratios, to make the displayed font seem normal. Finally, generate a corrected business card image according to the character groups after correction. | 07-02-2009 |
20090167856 | REVERSE SENSING SYSTEM DISPLAYING OVERHEAD VEHICLE IMAGE - A reverse sensing system displaying an overhead vehicle image includes a plurality of fisheye lenses, a trip computer, and a screen. The fisheye lenses are disposed on all sides of the vehicle to shoot the surrounding scene images of the vehicle. The trip computer reads the scene images, and executes a plurality of built-in image processing procedures to combine the scene images into an overhead vehicle image. The radially distorted scene images are corrected into the normal scene images through a distorted image correction procedure. The corrected scene images are rotated into projection scene images through a planar transition procedure. The images are retrieved according to the positions of the shooting lenses of the projection scene images so as to generate the overhead vehicle image through an image combining procedure. | 07-02-2009 |
20090167900 | IMAGE PROCESSING METHOD FOR ADJUSTING A SCALE OF A FACE - An image processing method for adjusting a scale of a face is implemented by a microprocessor of a digital camera. The microprocessor performs a face detection to find the position of a face in the image, and sets a zoom block according to an entire column/row of the position of the face, so as to zoom in/out the scale of the face. When the scale of the face is adjusted, an entire column of pixels are added/deleted with constrain proportions from two sides of the zoom block, for repairing the pixels altered during the zoom in/out of the face so as to remain the whole image undistorted. This method finds the position of the face accurately, and adjusts the pixels at the position of the face, so as to effectively adjust the scale of the face, and avoid disproportion between the face and the body in the image. | 07-02-2009 |
20090167906 | FALSE COLOR SUPPRESSION METHOD FOR DIGITAL IMAGE - A false color suppression method for a digital image is described. The method is performed in a digital camera, for suppressing the false color of the digital image shot by the digital camera. The method includes separating a luminance part and a chrominance part of a digital image; extracting the chrominance part, and calculating a first color gamut component and a second color gamut component in the chrominance part; setting a critical value according to a photosensitivity during shooting by the digital camera; performing a corresponding pixel uniformization action on the pixel according to a relation between a difference between the pixel and adjacent neighboring pixels and the critical value respectively for the first color gamut component and the second color gamut component; and combining the uniformized chrominance part and the luminance part of the digital image to a suppressed image. | 07-02-2009 |
20090169054 | METHOD OF ADJUSTING SELECTED WINDOW SIZE OF IMAGE OBJECT - A method of adjusting selected window size of an image object is applicable for tracking a target object in a video. The video includes a plurality of frames, and the target object has a display range changing with the playback of each frame. According to a variation trend of the display range of the target object, whether a variation times corresponding to the variation trend reaches a threshold value or not is recorded, and then the selected window size is reset, such that the target object is enclosed with a selected window having a size closer to the target object. | 07-02-2009 |
20090169066 | MULTIDIRECTONAL FACE DETECTION METHOD - A multidirectional face detection method is used to detect a face in a picture under detection at different positions. The face detection method includes the steps. A selecting window sets to sequentially select different sub-image patterns from the picture under detection. A facial weight calculates and it is calculated according to a feature value of the pixels in a sub-image pattern selected by the selecting window, thereby determining if the sub-image pattern has any features similar to the face. A facial edge weight calculates for made on the picture under detection according to a boundary value of the pixels in the sub-image pattern selected by the selecting window, so as to determine if the part of area of the picture under detection has any facial-boundaries. A profile detection performs to respectively mark the facial-boundaries in the sub-image patterns with a arc segments respectively for the sub-image patterns having the facial-boundaries. | 07-02-2009 |
20090169067 | FACE DETECTION AND TRACKING METHOD - Face detection and tracking method is executed by a computer or a microprocessor with computing capability for identifying human faces and positions thereof in image frames. First, face detection is performed to detect human faces in a plurality of frames. Then, face tracking is performed on each of the frames to track the detected human faces and record positions of these human faces. Afterward, face detection on the image frames is again performed every few frames, skipping the positions of the human faces that have been recorded, so as to quickly search for other human faces that might be newly added. | 07-02-2009 |
20090169103 | METHOD OF CORRECTING FALSE-COLOR PIXEL IN DIGITAL IMAGE - A method of correcting a false-color pixel in a digital image is used to correct a false-color pixel generated after being processed by a color correction matrix (CCM). The method includes the following steps. Obtaining a raw image, for being processed by the CCM operation to generate a processed image; comparing pixels of the raw image with that of the processed image according to a color difference ratio, to find out a false-color pixel in the pixels of the processed image; then, performing a color correction on the false-color pixel at the corresponding position of the raw image and the processed image. The false-color pixel is corrected according to the pixel color at the corresponding position of the raw image. | 07-02-2009 |
20090268041 | DIGITAL IMAGE PROCESSING METHOD FOR CORRECTING SHAKING BLUR - A digital image processing method for correcting a shaking blur corrects a blurred image caused by a shake when a user shoots an image with a digital camera, which includes the following steps obtaining a safe shutter time of the digital camera; performing an exposure adjustment procedure, for adjusting an aperture and a ISO speed of the digital camera respectively, and obtaining a shutter time of the digital camera after being adjusted; performing a shooting procedure; shooting a plurality of digital images, if the shutter time of the digital camera is greater than the safe shutter time; and then performing an image compensation procedure according to the digital images, to align the same image object in the digital images and then to overlay each pixel of the digital images one by one, thereby outputting an output image. | 10-29-2009 |
20090322787 | DIGITAL IMAGE COMPOSITION METHOD - A digital image composition method is adapted to eliminate a ghost image produced by a digital image-capturing apparatus due to handshakes in shooting. The method includes the steps. In a pre-shooting process, a base image and a comparison image are respectively captured. A base pixel is selected from the base image, and a core window is set with the base pixel at the center. A comparison pixel is selected from the comparison image, and a search window is set with the comparison pixel at the center. Each area of the search window is compared through the core window, and an absolute error sum value between the base image and the comparison image is calculated. It is determined how to change the brightness of the base pixel according to the normalized region difference value. The above steps are repeated to adjust each pixel in the base image. | 12-31-2009 |
20090322936 | AUTO FOCUSING METHOD FOR FACE DETECTION OF DIGITAL IMAGING DEVICE - A auto focusing method for face detection of a digital imaging device is described, in which high-frequency information of a focusing area is increased according to a size, a position of a face of a person to be shot, and an image area at least covering the face and body of the person, thereby improving a focusing success ratio. | 12-31-2009 |
20100074479 | HIERARCHICAL FACE RECOGNITION TRAINING METHOD AND HIERARCHICAL FACE RECOGNITION METHOD THEREOF - A hierarchical face recognition training method and a hierarchical face recognition method thereof for performing a face feature recognition on an image under detection. The method includes a training process and a recognition process. The recognition method includes the steps. A plurality of training samples is obtained. The training samples are subdivided into a plurality of sub-image categories according to a plurality of angle intervals, and the training of a plurality of face features performs on a corresponding sub-image detector of each of the sub-image categories. The training measures performed repeatedly to generate sub-image categories at a sub-level of the sub-image categories. The training method includes the steps. An image under detection is loaded. A similarity of each of sub-image detectors compares according to the image under detection, and the sub-image detector having the highest similarity is selected. The face recognition measures performed repeatedly on the selected sub-image detector. | 03-25-2010 |
20100165075 | METHOD FOR AUTOMATICALLY SHOOTING PANORAMIC IMAGE BY DIGITAL IMAGE PICKUP DEVICE - A method for automatically shooting a panoramic image by a digital image pickup device is described. In the method, a pixel error value between a real-time image and an alignment image overlapped with each other is continuously compared and calculated. When the pixel error value is smaller than a preset threshold value, the digital image pickup device is automatically driven to shoot a second image to be stitched and blended with a previous image into a panoramic image. The shooting of the panoramic image is simplified by using automatic image capturing. | 07-01-2010 |
20100165154 | NOISE ELIMINATION METHOD OF IMAGE SEQUENCE - A noise elimination method of an image sequence is described. During a color separation of a raw image data captured by an image capturing element, 3D filtering is integrated. First, the raw image data is converted into a gray-scaled full luma image, an interframe filtering process is performed to eliminate possible noises in the gray-scaled full luma image, and an interpolation process is performed with the raw image data. During the implementation, an adaptive frame average filtering process is also performed to obtain a preferred image filtering result through an appropriate filtering manner. Therefore, an adaptive interframe interpolation for eliminating noises is to prevent noises or artifacts generated by the noises from affecting the subsequent image processing. | 07-01-2010 |
20100166310 | METHOD OF ESTABLISHING SKIN COLOR MODEL - A method of establishing a skin color model includes the following steps. A human face detecting procedure is performed on an input image, and a human face area in the input image is circled through a selecting window. A skin color model is established by using a Gaussian probability distribution function (PDF) according to color information in the selecting window. When the skin color model established in the above step is applied to skin color detection, pixels having the skin color in the input image are detected through the skin color model and a Mahalanobis distance computing procedure. | 07-01-2010 |
20100166331 | METHOD FOR BEAUTIFYING HUMAN FACE IN DIGITAL IMAGE - A method for beautifying a human face in a digital image is adapted to beautify a face area of an input image. The method includes setting a selection window to select a partial image area in the input image; setting a target pixel in the selection window, and setting other pixels as comparison pixels; performing a detail checking process according to a variance between the target pixel; performing a luminance checking process on the target pixel to determine; performing a nonlinear filtering process to filter the target pixel by using a nonlinear filter to generate a filtered value, and providing a mixing ratio to mix the target pixel with the filtered value at the mixing ratio to generate a completed pixel; replacing the original target pixel with the completed pixel; and repeating the above steps until all pixels are completed. | 07-01-2010 |
20100194852 | AUTOMATIC CAPTURING METHOD OF A PANORAMIC IMAGE FOR A DIGITAL CAMERA - An automatic capturing method of a panoramic image for a digital camera panoramic image is presented. In the method, a motion vector value of an alignment image selected from a first image captured by the digital camera in a real-time image is continuously tracked, calculated, and accumulated to obtain an accumulated motion vector value. When the accumulated motion vector value reaches a preset threshold value, the digital camera is automatically driven to capture a second image, so as to stitch and blend the first image and the second image into a panoramic image. Through the automatic image capture mode, operations for capturing the panoramic image are simplified. | 08-05-2010 |
20100310162 | COLOR INTERPOLATION METHOD FOR DIGITAL IMAGE - A color interpolation method for a digital image is described, includes the following steps. Edge information is generated according to the Bayer pattern. A Bayer pattern image is processed by a horizontal band-pass filter and a vertical band-pass filter to generate a horizontal edge signal and a vertical edge signal. A weight process implements a weight adjustment on the horizontal edge signal and the vertical edge signal to generate a luminance signal and outputs the luminance signal to a subtraction unit. The subtraction unit carries out an operation according to the Bayer pattern image and an output result of the weight process to generate a chrominance pattern. The chrominance pattern is compensated through a chrominance interpolation process, so as to generate image signal patterns of different colors. The image signal patterns of different colors are output to an adder for an add operation, thereby outputting a complete color image. | 12-09-2010 |
20110299790 | IMAGE COMPRESSION METHOD WITH VARIABLE QUANTIZATION PARAMETER - An image compression method s used for processing a plurality of pixels of an image. The image compression method includes the steps of receiving N successive pixels; obtaining N pixel differences and N map differences corresponding to the N pixels according to values of the N pixels through differential pulse code modulation; calculating to obtain a quantization reference value corresponding to the N pixels according to the N pixel differences; obtaining a quantization parameter corresponding to the N pixels according to the quantization reference value; and encoding the N map differences according to the quantization parameter. | 12-08-2011 |
20110299791 | LOSSLESS IMAGE COMPRESSION METHOD - A compression method is used for processing an image having a plurality of pixels, in which an image width of the image is W. The compression method includes the steps of selecting N continuous pixels from the image, where N is a positive integer greater than or equal to 2 and is less than the image width W; performing differential pulse code modulation (DPCM) so as to obtain N non-negative differences corresponding to the N pixels according to values of the N pixels; calculating to obtain a coding parameter according to the N non-negative differences; and coding the N non-negative differences according to the coding parameter. | 12-08-2011 |
20110317932 | IMAGE COMPRESSION METHOD WITH VARIABLE QUANTIZATION PARAMETERS AND VARIABLE CODING PARAMETERS - An image compression method is used for processing a plurality of pixels of an image. The image compression method includes the steps of receiving N pixels; analyzing the N pixels and generating a content type corresponding to the N pixels; obtaining a quantization parameter and a coding parameter corresponding to the N pixels according to the content type and a currently available buffer space value; obtaining N quantized differences corresponding to the N pixels through a prediction and quantization way according to values of the N pixels and the quantization parameter; and encoding the N quantized differences according to the N quantized differences and the coding parameter. | 12-29-2011 |
20120106783 | OBJECT TRACKING METHOD - An object tracking method includes steps of obtaining multiple first classifications of pixels within a first focus frame in a first frame picture, wherein the first focus frame includes an object to be tracked and has a first rectangular frame in a second frame picture; performing a positioning process to obtain a second rectangular frame; and obtaining color features of pixels around the second rectangular frame sequentially and establishing multiple second classifications according to the color feature. The established second classifications are compared with the first classifications sequentially to obtain an approximation value, compared with a predetermined threshold. The second rectangular frame is progressively adjusted, so as to establish a second focus frame. By analyzing color features of the pixels of the object and with a classification manner, the efficacy of detecting a shape and size of the object so as to update information of the focus frame is achieved. | 05-03-2012 |