东南大学学报（英文版）2016，Vol.32Issue(4)：426-431,6.DOI:10.3969/j.issn.1003-7985.2016.04.006
基于颜色边缘矩和锚定邻域正则化回归的色彩恒常算法
Color constancy using color edge moments and regularized regression in anchored neighborhood
摘要
Abstract
To improve the accuracy of illumination estimation while maintaining a relative fast execution speed, a novel learning-based color constancy using color edge moments and regularized regression in an anchored neighborhood is proposed. First, scene images are represented by the color edge moments of various orders. Then, an iterative regression with a squared Frobenius norm ( F-norm ) regularizer is introduced to learn the mapping between the edge moments and illuminants in the neighborhood of the anchored sample. Illumination estimation for the test image finally becomes the nearest anchored point search followed by a matrix multiplication using the associated mapping matrix which can be precalculated and stored. Experiments on two standard image datasets show that the proposed approach significantly outperforms the state-of-the-art algorithms with a performance increase of at least 10. 35% and 7. 44% with regard to median angular error.关键词
色彩恒常/颜色边缘矩/锚定邻域/最近邻Key words
color constancy/color edge moments/anchored neighborhood/nearest neighbor分类
信息技术与安全科学引用本文复制引用
吴萌,罗凯..基于颜色边缘矩和锚定邻域正则化回归的色彩恒常算法[J].东南大学学报（英文版）,2016,32(4):426-431,6.基金项目
The National Natural Science Foundation of China ( No.61503303,51409215), the Fundamental Research Funds for the Central Universities ( No. G2015KY0102) （ No.61503303,51409215）
