Separating Reflection Components Based on Chromaticity and Noise Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reflection Components Decomposition of Textured Surfaces Using Linear Basis Functions
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Chromaticity-based separation of reflection components in a single image
Pattern Recognition
Color image segmentation using morphological clustering and fusion with automatic scale selection
Pattern Recognition Letters
A sequential Bayesian approach to color constancy using non-uniform filters
Computer Vision and Image Understanding
Generalized Gamut Mapping using Image Derivative Structures for Color Constancy
International Journal of Computer Vision
Illumination chromaticity estimation using inverse-intensity chromaticity space
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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Color constancy and chromatic edge detection are fundamental problems in artificial vision In this paper we present a way to provide a visualization of color constancy that works well even in dark scenes where such humans and computer vision algorithms have hard problems due to the noise The method is an hybrid and non linear transform of the RGB image based on the assignment of the chromatic angle as the luminosity value in the HSV space This chromatic angle is defined on the basis of the dichromatic reflection model, having thus a physical model supporting it.