Abstract
A model for color constancy (CC) that can be applied for automatic CC for still and video images is presented. This biological model succeeds in automatically correcting the color of images to a ‘human vision appearance’ (as is commonly required in cameras), as opposed to many CC algorithms better suited for machine vision applications such as color object identification. The algorithm is based on retinal mechanisms of adaptation (gain control): ‘local’ and ‘remote’. These mechanisms enable video image applications, since they take into account the dynamics of human adaptation mechanisms. The results indicate that the contribution of adaptation mechanisms to CC is significant, robust, and succeeds in performing color correction of still images and video sequences under single and multiple illumination conditions.
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