Alleviating Dominant Color Failure in Automatic White Balance Using Histogram Trimming

Methods, devices and computer readable media for implementing novel dominant color alleviation techniques for color balancing are described. The techniques take advantage of unique properties of 2D image data histograms accumulated in a chromaticity space, along with other factors such as estimated scene lux and knowledge of plausible scene illuminant white point values within the chromaticity space. The accumulated 2D image data histograms may be refined and “trimmed,” such that the resultant image data passed to an auto white balance solution has much less influence from the dominant colors in the image, even those that overlap the plausible scene illuminant color region. The described techniques provide for white point estimates that are much less prone to dominant color failures.