Abstract: A method and apparatus for estimating stereo misalignment using modified affine or perspective model. The method includes dividing a left frame and a right frame into blocks, comparing horizontal and vertical boundary signals in the left frame and the right frame, estimating the horizontal and the vertical motion vector for each block in a reference frame, selecting a reliable motion vectors from a set of motion vectors, dividing the selected block into smaller features, feeding the data to an affine or a perspective transformation model to solve for the model parameters, running the model parameters through a temporal filter, portioning the estimated misalignment parameters between the left frame and right frame, and modifying the left frame and the right frame to save some boundary space.

Abstract: A method for calibrating automatic white balance (AWB) is provided that includes using a plurality of references for AWB that include color temperature references, wherein an AWB failure is detected in an image, generating a scene prototype reference based on the image, and adding the generated scene prototype reference to the references for AWB. A method for calibrating AWB is provided that includes selecting an image as a scene prototype, wherein the selected image was captured by a second imaging sensor different from a first imaging sensor, transforming the selected image into a scene prototype image for the first imaging sensor, generating a scene prototype reference using the scene prototype image for the first imaging sensor, and adding the generated scene prototype reference to references for AWB that include color temperature references.

Abstract: A method and apparatus for automatic white balancing of an image. The method includes retrieving scene analysis of the image, determining at least one of the type of the scene and a scene content map utilizing the scene analysis of the image, performing scene adaptive white balance, if overall scene category type is used, perform white balance by applying global R, G, B gains optimized for the global scene type, and if scene segmentation map is used, perform locally adaptive white balance by applying an R, G, B gain map optimized for each scene content.

Abstract: At least first, second and third imaging sensors simultaneously capture at least first, second and third images of a scene, respectively. An image pair is selected from among the images. A screen displays the image pair to form the stereoscopic image. The image pair is selected in response to at least one of: a size of the screen; and a distance of a user away from the screen.

Abstract: A method for calibrating automatic white balance (AWB) in a digital system is provided that includes capturing an image of a test target under a natural lighting condition, generating a first color temperature reference from the captured image, and outputting AWB configuration data for the digital system, wherein the AWB configuration data comprises the first color temperature reference and a second color temperature reference generated using the test target under simulated lighting conditions. A method for calibrating automatic white balance (AWB) in a digital system comprising a first imaging sensor is provided that includes receiving a reference for AWB that was generated using an image captured using a second imaging sensor, and compensating a histogram reference into a histogram reference for AWB for the first imaging sensor in the digital system based on R, G, B adjustment values from the second imaging sensor to the first imaging sensor.

Abstract: In response to an image, a likelihood of flicker within the image is estimated. In response to the estimated likelihood, references are selected from among first and second sets of references. The first set of references are responsive to a first set of reference images captured under particular illumination. The second set of references are responsive to a second set of reference images captured under fluorescent illumination. In response to the selected references, one or more gains are generated for enhancing white balance of the image.

Abstract: A method for calibrating automatic white balance (AWB) in a digital system is provided that includes capturing an image of a test target under a natural lighting condition, generating a first color temperature reference from the captured image, and outputting AWB configuration data for the digital system, wherein the AWB configuration data comprises the first color temperature reference and a second color temperature reference generated using the test target under simulated lighting conditions. A method for calibrating automatic white balance (AWB) in a digital system comprising a first imaging sensor is provided that includes receiving a reference for AWB that was generated using an image captured using a second imaging sensor, and compensating a histogram reference into a histogram reference for AWB for the first imaging sensor in the digital system based on R, G, B adjustment values from the second imaging sensor to the first imaging sensor.

Abstract: A method and apparatus for improving stability of histogram correlation based image and video processing algorithms. The method includes computing a histogram for target signal and reference signal for generating a target histogram and a reference histogram, performing low pass filtering of the input signal and the reference signal and producing smoothed histograms, and performing correlation on the smoothed histograms for improving stability of histogram correlation.

Abstract: A method for compensating an automatic white balance (AWB) reference generated for a first image sensor is provided that includes computing a red adjustment factor, a green adjustment factor, and a blue adjustment factor based on an average red value, an average green value, and an average blue value of the first image sensor and an average red value, an average green value, and an average blue value of a second image sensor, and modifying a red value, a green value, a blue value, and chromaticity values of the AWB reference based on the red adjustment factor, the green adjustment factor, and the blue adjustment factor to generate a compensated reference for the second image sensor. A method for tuning AWB references based on changes in chromaticity values of the references is also provided.

Abstract: For reorienting a stereoscopic image of first and second views, a depth map is generated in response to disparities of features between the first and second views. The depth map assigns depths to pixels of the stereoscopic image. In response to the depth map and the second view, a replacement of the first view is synthesized.

Abstract: A method and apparatus for reducing convergence accommodation conflict. The method includes estimating disparities between images for different lens, analyzing the estimated disparities, selecting a point of convergence, determining the amount of shift relating to the convergence point selected, and performing adjustment to the disparity to maintain a disparity value below a threshold.

Abstract: A method for compensating an automatic white balance (AWB) reference generated for a first image sensor is provided that includes computing a red adjustment factor, a green adjustment factor, and a blue adjustment factor based on an average red value, an average green value, and an average blue value of the first image sensor and an average red value, an average green value, and an average blue value of a second image sensor, and modifying a red value, a green value, a blue value, and chromaticity values of the AWB reference based on the red adjustment factor, the green adjustment factor, and the blue adjustment factor to generate a compensated reference for the second image sensor. A method for tuning AWB references based on changes in chromaticity values of the references is also provided.

Abstract: A method and apparatus for white balancing. The method comprising estimating the color temperature of at least a portion of the image, wherein the color temperature estimation algorithm is based on computing histogram correlations of at least a portion of at least one reference image and at least a portion of at least one target image, and correcting the white balance of at least a portion of the image utilizing the estimated color temperature.

Abstract: A method and apparatus for estimating stereo misalignment using modified affine or perspective model. The method includes dividing a left frame and a right frame into blocks, comparing horizontal and vertical boundary signals in the left frame and the right frame, estimating the horizontal and the vertical motion vector for each block in a reference frame, selecting a reliable motion vectors from a set of motion vectors, dividing the selected block into smaller features, feeding the data to an affine or a perspective transformation model to solve for the model parameters, running the model parameters through a temporal filter, portioning the estimated misalignment parameters between the left frame and right frame, and modifying the left frame and the right frame to save some boundary space.

Abstract: A method and apparatus for performing automatic white balance utilizing a touch screen. The method includes determining an area on a touch screen for performing automatic white balance, extracting portion of a frame relating to the determined area, determining red, green and blue values of the extracted portion of the frame, and performing automatic white balance based on the determined red, green and blue values.

Abstract: A method for calibrating automatic white balance (AWB) in a digital system is provided that includes capturing an image of a test target under a natural lighting condition, generating a first color temperature reference from the captured image, and outputting AWB configuration data for the digital system, wherein the AWB configuration data comprises the first color temperature reference and a second color temperature reference generated using the test target under simulated lighting conditions. A method for calibrating automatic white balance (AWB) in a digital system comprising a first imaging sensor is provided that includes receiving a reference for AWB that was generated using an image captured using a second imaging sensor, and compensating a histogram reference into a histogram reference for AWB for the first imaging sensor in the digital system based on R, G, B adjustment values from the second imaging sensor to the first imaging sensor.

Abstract: A method for automatic white balance (AWB) in a digital system is provided that includes applying predetermined flash red, blue, and green gain values stored in the digital system to white balance a digital image when a flash is used to capture the digital image, and applying computed red, blue, and green gain values to white balance a digital image when the flash is not used to capture the digital image. Another method for AWB is provided that includes computing red, blue, and green gain values for white balancing a digital image, adjusting the computed red, blue, and green gain values with respective predetermined flash red, blue, and green gain adjustment values when the flash is used to capture the digital image, and applying the adjusted red, blue, and green gain values to white balance the digital image.

Abstract: A method and apparatus for improving stability of histogram correlation based image and video processing algorithms. The method includes computing a histogram for target signal and reference signal for generating a target histogram and a reference histogram, performing low pass filtering of the input signal and the reference signal and producing smoothed histograms, and performing correlation on the smoothed histograms for improving stability of histogram correlation.

Abstract: A method for calibrating automatic white balance (AWB) is provided that includes using a plurality of references for AWB that include color temperature references, wherein an AWB failure is detected in an image, generating a scene prototype reference based on the image, and adding the generated scene prototype reference to the references for AWB. A method for calibrating AWB is provided that includes selecting an image as a scene prototype, wherein the selected image was captured by a second imaging sensor different from a first imaging sensor, transforming the selected image into a scene prototype image for the first imaging sensor, generating a scene prototype reference using the scene prototype image for the first imaging sensor, and adding the generated scene prototype reference to references for AWB that include color temperature references.

Abstract: A method and apparatus for automatic white balancing of an image. The method includes retrieving scene analysis of the image, determining at least one of the type of the scene and a scene content map utilizing the scene analysis of the image, performing scene adaptive white balance, if overall scene category type is used, perform white balance by applying global R, G, B gains optimized for the global scene type, and if scene segmentation map is used, perform locally adaptive white balance by applying an R, G, B gain map optimized for each scene content.