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Edge-based Color Constancy via Support Vector Regression
Ning Wang; De Xu; Bing Li
Source PublicationIEICE Trans. On Inf. & Sys.
2009
VolumeE91-DIssue:11Pages:2279-2282
AbstractColor 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.
KeywordColor Constancy
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20389
Collection模式识别国家重点实验室_视频内容安全
AffiliationBeijing Jiaotong University
Recommended Citation
GB/T 7714
Ning Wang,De Xu,Bing Li. Edge-based Color Constancy via Support Vector Regression[J]. IEICE Trans. On Inf. & Sys.,2009,E91-D(11):2279-2282.
APA Ning Wang,De Xu,&Bing Li.(2009).Edge-based Color Constancy via Support Vector Regression.IEICE Trans. On Inf. & Sys.,E91-D(11),2279-2282.
MLA Ning Wang,et al."Edge-based Color Constancy via Support Vector Regression".IEICE Trans. On Inf. & Sys. E91-D.11(2009):2279-2282.
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