Abstract: A method for performing a color based white balance of a digital image, the method includes: generating or receiving multiple chromaticity value pairs of multiple pixel areas of the digital image; finding selected candidates; wherein a selected candidate represents a pixel area and has a chromaticity value pair that falls within at least one color gamut out of a group of color gamut of different colors; wherein the different colors comprise at least one color that differs from gray; calculating at least one white balance compensation parameter in response to pixel information of pixels areas that have selected chromaticity values; and providing a compensated digital image by applying at least one white balance compensated image.

Abstract: A method for performing a color gamut based white balancing of a digital image, the method includes: determining at least one filtering parameter based upon a relationship between candidates and color gamuts that are associated with different illumination conditions; wherein each candidate represents a pixel area; selecting selected candidates by filtering the candidates; wherein the filtering is responsive to at least one filtering parameter; calculating at least one white balance compensation parameter in response to pixel information of the selected pixel areas; and providing a compensated digital image by applying at least one white balance compensated parameter.

Abstract: A method for performing white balancing of a digital image, the method includes: generating or receiving multiple candidates, each candidate represents a pixel area of the digital image; applying multiple white balancing estimation processes on the candidates to provide multiple digital image imbalance estimations; wherein a first white balancing estimation process differs from a second white balancing estimation process by its inherent reliability; calculating at least one white balancing compensation parameter in response to at least two digital image imbalance estimations; and providing a compensated digital image by applying at least one white balancing compensation image.

Abstract: Embodiments of the current invention provide for systems and methods for correcting shading effects in image sensors. More specifically, but not by way of limitation, embodiments of the current invention provide methods and systems for dynamically correcting shading effects for digitally converted outputs from individual pixels on a pixel array in the image sensor, wherein the shading correction may be calculated according to a function of an elliptical-type equation from the radial location of the pixel on the pixel array. In embodiments of the present invention, the correction is performed at the Bayer domain before demosaicing processing to provide for accuracy of shading correction and low power consumption.

Abstract: Embodiments of the present invention relate in general to systems and methods for dynamically correcting color cross-talk and related color distortion in an image sensor. More specifically, but not by way of limitation, certain embodiments of the present invention relate to correcting pixel outputs from a pixel array in an image sensor at the Bayer domain for color cross-talk and/or green disparity using hyperbolically varying correction functions to dynamically derive color cross-talk correction factors using pixel location on the pixel array, a selected pixel output and related outputs from neighboring pixels on the image sensor prior to or synchronous with color interpolation.

Abstract: Embodiments of the present invention relate in general to systems and methods for dynamically correcting color cross-talk and related color distortion in an image sensor. More specifically, but not by way of limitation, certain embodiments of the present invention relate to correcting pixel outputs from a pixel array in an image sensor at the Bayer domain for color cross-talk and/or green disparity using hyperbolically varying correction functions to dynamically derive color cross-talk correction factors using pixel location on the pixel array, a selected pixel output and related outputs from neighboring pixels on the image sensor prior to or synchronous with color interpolation.

Abstract: Embodiments of the current invention provide for systems and methods for correcting shading effects in image sensors. More specifically, but not by way of limitation, embodiments of the current invention provide methods and systems for dynamically correcting shading effects for digitally converted outputs from individual pixels on a pixel array in the image sensor, wherein the shading correction may be calculated according to a function of an elliptical-type equation from the radial location of the pixel on the pixel array. In embodiments of the present invention, the correction is performed at the Bayer domain before demosaicing processing to provide for accuracy of shading correction and low power consumption.

Abstract: A method for realistically implanting a non-floating. Computer Graphic Image object into a real camera image sequence filmed scene, and for obtaining roaming capabilities therein, including modeling a picture into which a Computer Graphic Image object is to be implanted by creating therefor imaginary borders, providing a three-dimensional vector representing the movement of the camera between each frame, and expanding said vector to a plane by calculating the movement of the camera while marinating its original angles; and therewith by respectively using an imaginary camera to render a 3D object on a screen of a computer and by respectively coordinating the filming camera's angle with the imaginary camera for implanting the Computer Graphic Image object in the image sequence filmed scene; wherein the method is characterized by implementing angular noise from the filming camera's angle to the object rendered by the imaginary camera.