Color constancy for scenes with varying illumination
Computer Vision and Image Understanding - Special issue on physics-based modeling and reasoning in computer vision
A New Interpretation and improvement of the Nonlinear Anisotropic Diffusion for Image Enhancement
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Review of Nonlinear Diffusion Filtering
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
A parallel algorithm for color constancy
Journal of Parallel and Distributed Computing
Color Constancy
Stability and local feature enhancement of higher order nonlinear diffusion filtering
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
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The human visual system is able to determine the color of objects irrespective of the power distribution illuminating the scene. This ability is called color constancy. It would be highly interesting to mimic this ability of the human visual system. Accurate color reproduction is very important from consumer photography to automatic color based object recognition. In theory, if we knew the color of the illuminant for each image pixel, we would be able to compute a color corrected image which is independent of the illuminant. We suggest the use of anisotropic diffusion to estimate the illuminant locally for each image pixel.