Title :
Color Constancy Using Standard Deviation of Color Channels
Author :
Choudhury, Anustup ; Medioni, Gerard
Author_Institution :
Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
We address here the problem of color constancy and propose a new method to achieve color constancy based on the statistics of images with color cast. Images with color cast have standard deviation of one color channel significantly different from that of other color channels. This observation is also applicable to local patches of images and ratio of the maximum and minimum standard deviation of color channels of local patches is used as a prior to select a pixel color as illumination color. We provide extensive validation of our method on commonly used datasets having images under varying illumination conditions and show our method to be robust to choice of dataset and at least as good as current state-of-the-art color constancy approaches.
Keywords :
image colour analysis; color channels; color constancy approach; illumination color; image local patches; minimum standard deviation; pixel color; Artificial neural networks; Classification algorithms; Estimation; Histograms; Image color analysis; Lighting; Pixel; color; color constancy; illumination;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.426