Edge-Based Color Constancy via Support Vector Regression
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概要
- 論文の詳細を見る
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.
- （社）電子情報通信学会の論文
- 2009-11-01
著者
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Wang Ning
Beijing Jiaotong Univ. Chn
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XU De
Institute of Computer Science and Engineering, Beijing Jiaotong University
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LI Bing
Institute of Computer Science and Engineering, Beijing Jiaotong University
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Li Bing
Institute Of Computer Science And Engineering Beijing Jiaotong University
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WANG Ning
Institute of Computer Science and Engineering, Beijing Jiaotong University
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Xu De
Institute Of Computer & Engineering Beijing Jiaotong University
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Wang Ning
Institute Of Computer And Engineering Beijing Jiaotong University
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