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Color Constancy Using Ridge Regression
Rui Lu; Bing Li; De Xu
Source PublicationJournal of Information Science & Engineering
AbstractAlthough there exist a number of single color constancy algorithms, none of them can be considered universal. Consequently, how to select and combine existing single algorithms are two important research directions in the field of color constancy. In this paper we use ridge regression, a simple yet effective machine learning approach, to select and combine existing color constancy algorithms. Two algorithms are proposed using ridge regression in this paper. In the first method (combination of existing color constancy algorithms), the color of the light source is estimated based on the results of existing single color constancy algorithms using ridge regression. In the second method (selection of existing color constancy algorithms), the proper algorithm for a given image is selected by ridge regression based on natural image statistics. Then it is used to estimate the color of the light source. The proposed two algorithms are verified on a large data set with more than 11,000 images. The experimental results demonstrate that the proposed methods are competitive with the state-of-the-art methods.
KeywordColor Constancy
Document Type期刊论文
Affiliation1.Beijing Jiaotong University
2.Institute of Automation, Chinese Academy of Sciences.
Recommended Citation
GB/T 7714
Rui Lu,Bing Li,De Xu. Color Constancy Using Ridge Regression[J]. Journal of Information Science & Engineering,2010(26):119-130.
APA Rui Lu,Bing Li,&De Xu.(2010).Color Constancy Using Ridge Regression.Journal of Information Science & Engineering(26),119-130.
MLA Rui Lu,et al."Color Constancy Using Ridge Regression".Journal of Information Science & Engineering .26(2010):119-130.
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