RESEARCH ON COLOR CONSTANCY UNDER OPEN ILLUMINATION CONDITIONS  

作　　者：Xu Xiaozhao Zhuo Li Zhang Jing Shen Lansun 

机构地区：[1]Signal ＆ Information Processing Lab [2] Beijing University of Technology [3] Beijing 100124 [4] China

出　　处：《Journal of Electronics(China)》2009年第5期681-686,共6页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.60431020);the Natural Science Foundation of Beijing (No.3052005);the Ph.D. Foundation of Ministry of Education (No.20040005015)

摘　　要：Color information plays a key role in the research fields of object recognition and image retrieval. However, the actual color varies by the conditions of illumination, especially the open natural daylight. Four different color constancy schemes are proposed in the paper to minimize the effects of open illumination conditions. (1) The color constancy scheme based on the image statistics is proposed, which includes the color cast detection and removal. (2) The color constancy scheme based on the color temperature curve is proposed, which combines Gaussian model with linear fitting to estimate color temperature curve. (3) The color constancy scheme based on the double exposure theory is proposed, which is able to reproduce a color image under typical illumination. (4) According to the concepts of supervised learning, the supervised color constancy scheme is proposed. The transformation of color values from unknown illumination to typical illumination is solved by improved Support Vector Regression (SVR).Color information plays a key role in the research fields of object recognition and image retrieval. However, the actual color varies by the conditions of illumination, especially the open natural daylight. Four different color constancy schemes are proposed in the paper to minimize the effects of open illumination conditions. （1） The color constancy scheme based on the image statistics is proposed, which includes the color cast detection and removal. （2） The color constancy scheme based on the color temperature curve is proposed, which combines Gaussian model with linear fitting to estimate color temperature curve. （3） The color constancy scheme based on the double exposure theory is proposed, which is able to reproduce a color image under typical illumination. （4） According to the concepts of supervised learning, the supervised color constancy scheme is proposed. The transformation of color values from unknown illumination to typical illumination is solved by improved Support Vector Regression （SVR）.

关 键 词：Image statistics Color temperature curve Double exposure Supervised color constancy 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] S831.4[自动化与计算机技术—计算机科学与技术]