A novel algorithm for color constancy
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
From [R,G,B] to surface reflectance: computing color constant descriptors in images
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Robust automatic white balance algorithm using gray color points in images
IEEE Transactions on Consumer Electronics
Improving gamut mapping color constancy
IEEE Transactions on Image Processing
Hi-index | 12.05 |
In this paper, a novel white balance method is proposed, which consists of two fundamental steps, i.e., color temperature estimation of the illuminant and adjustment of the components of the color separates. A fuzzy logic system is constructed to infer the color temperature of an illuminant which a digitally acquired image subjected to. The fuzzy logic system is further optimized by representing the system as a fuzzy neural network and a training scheme of the FNN parameters is proposed. The estimated color temperature is then employed to determine the required amount of adjustment for each color separate of the image. Experimental procedures are outlined and performed, which validates the feasibility and performance of the proposed method. A comparative study is also made based on two quantitative indices. The study shows that the proposed approach is preferable to most methods in the literatures in terms of performance and robustness to varieties of illuminants and scenes.