Abstract: A method and apparatus for determining an auto white balance (AWB) gain based on a chroma tint pattern resulting from lens rolloff. The method may include receiving an image captured by a camera module, determining a chroma tint pattern of the image resulting from lens rolloff of the camera module, determining an illuminant under which the image was captured based on the determined chroma tint pattern, determining AWB parameters based at least in part on the determined illuminant, and applying the AWB parameters to the image.

Abstract: A method and apparatus for determining an auto white balance (AWB) gain based on a chroma tint pattern resulting from lens rolloff. The method may include receiving a first image captured by a camera module, determining a chroma tint pattern of the first image resulting from lens rolloff of the camera module, determining an illuminant under which the first image was captured based on the determined chroma tint pattern, determining AWB parameters based at least in part on the determined illuminant, and applying the AWB parameters to a second image.

Abstract: Systems and methods are disclosed for calibrating an image sensor using a source image taken from the image sensor and comparing it to a reference image. In one embodiment, the method may involve determining the luminance and chrominance values of portions of the image at successive frequency levels and calculating a standard deviation at each frequency level for both the source image and the reference image. The standard deviation values may be compared and a difference determined. Using unit vector search vectors, noise values may be calculated to determine sensor calibration values.

Abstract: Systems and methods are disclosed for calibrating an image sensor using a source image taken from the image sensor and comparing it to a reference image. In one embodiment, the method may involve determining the luminance and chrominance values of portions of the image at successive frequency levels and calculating a standard deviation at each frequency level for both the source image and the reference image. The standard deviation values may be compared and a difference determined. Using unit vector search vectors, noise values may be calculated to determine sensor calibration values.