Color Constancy Using Ridge Regression
Rui Lu; Bing Li; De Xu
发表期刊Journal of Information Science & Engineering
2010
期号26页码:119-130
摘要Although there exist a number of single color constancy algorithms, none of them can be considered universal. Consequently, how to select and combine existing single algorithms are two important research directions in the field of color constancy. In this paper we use ridge regression, a simple yet effective machine learning approach, to select and combine existing color constancy algorithms. Two algorithms are proposed using ridge regression in this paper. In the first method (combination of existing color constancy algorithms), the color of the light source is estimated based on the results of existing single color constancy algorithms using ridge regression. In the second method (selection of existing color constancy algorithms), the proper algorithm for a given image is selected by ridge regression based on natural image statistics. Then it is used to estimate the color of the light source. The proposed two algorithms are verified on a large data set with more than 11,000 images. The experimental results demonstrate that the proposed methods are competitive with the state-of-the-art methods.
关键词Color Constancy
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20388
专题多模态人工智能系统全国重点实验室_视频内容安全
作者单位1.Beijing Jiaotong University
2.Institute of Automation, Chinese Academy of Sciences.
推荐引用方式
GB/T 7714
Rui Lu,Bing Li,De Xu. Color Constancy Using Ridge Regression[J]. Journal of Information Science & Engineering,2010(26):119-130.
APA Rui Lu,Bing Li,&De Xu.(2010).Color Constancy Using Ridge Regression.Journal of Information Science & Engineering(26),119-130.
MLA Rui Lu,et al."Color Constancy Using Ridge Regression".Journal of Information Science & Engineering .26(2010):119-130.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Rui Lu]的文章
[Bing Li]的文章
[De Xu]的文章
百度学术
百度学术中相似的文章
[Rui Lu]的文章
[Bing Li]的文章
[De Xu]的文章
必应学术
必应学术中相似的文章
[Rui Lu]的文章
[Bing Li]的文章
[De Xu]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。