Edge-Based Color Constancy via Support Vector Regression

Ning WANG  De XU  Bing LI  

IEICE TRANSACTIONS on Information and Systems   Vol.E92-D    No.11    pp.2279-2282
Publication Date: 2009/11/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E92.D.2279
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
illuminant estimation,  support vector regression,  color constancy,  image derivative,  

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Color constancy is the ability to measure colors of objects independent of the light source color. Various methods have been proposed to handle this problem. Most of them depend on the statistical distributions of the pixel values. Recent studies show that incorporation image derivatives are more effective than the direct use of pixel values. Based on this idea, a novel edge-based color constancy algorithm using support vector regression (SVR) is proposed. Contrary to existing SVR color constancy algorithm, which is computed from the zero-order structure of images, our method is based on the higher-order structure of images. The experimental results show that our algorithm is more effective than the zero-order SVR color constancy methods.