A Multi-Scale Adaptive Grey World Algorithm(Image Recognition, Computer Vision)
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概要
- 論文の詳細を見る
Grey world algorithm is a well-known color constancy algorithm. It is based on the Grey-World assumption i.e., the average reflectance of surfaces in the world is achromatic. This algorithm is simple and has low computational costs. However, for the images with several colors, the light source color could not be estimated correctly using the Grey World algorithm. In this paper, we propose a Multi-scale Adaptive Grey World algorithm (MAGW). First, multi-scale images are obtained based on wavelet transformation and the illumination color is estimated from different scales images. Then according to the estimated illumination color, the original image is mapped into the image under a canonical illumination with supervision of an adaptive reliability function, which is based on the image entropy. The experimental results show that our algorithm is effective and also has low computational costs.
- 社団法人電子情報通信学会の論文
- 2007-07-01
著者
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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
Beijing Jiaotong Univ. Beijing Chn
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Li Bing
Institute Of Computer Science And Engineering Beijing Jiaotong University
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FENG Song-He
Institute of Computer & Engineering, Beijing Jiaotong University
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LEE Moon
Division of Electronics and Information Engineering, College of Engineering, Chonbuk National Univer
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Xu De
Beijing Jiaotong Univ. Beijing Chn
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Lee Moon
Division Of Electronics And Information Engineering Chonbuk National University
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Lee Moon
Division Of Electronics And Information Engineering College Of Engineering Chonbuk National Universi
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Xu De
Institute Of Computer & Engineering Beijing Jiaotong University
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Feng Song-he
Institute Of Computer & Engineering Beijing Jiaotong University
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FENG Song-He
Institute of Computer & Engineering, Beijing Jiaotong University
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