CASIA OpenIR  > 09年以前成果
Color Constancy Based on Image Similarity
Li B(李兵)
2008
发表期刊IEICE Trans. On Inf. & Sys.
卷号E91-D期号:2页码:75-378
摘要
Computational color constancy is a classical problem in computer
vision. It is an under-constrained problem, which can be solved
based on some constraint.  Existing algorithms can be divided into
two groups:physics-based algorithms and statistics-based
approaches. In this paper, we propose a new hypothesis that the
images generated under a same illumination have some similar
features. Based on this hypothesis, a novel statistics-based color
constancy algorithm is given and a new similarity function between
images is also defined. The experimental results show that our
algorithm is effective and it is more important that the dimension
of the features in our algorithm is much lower than many former
statistics-based algorithms.
关键词Color Constancy
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20379
专题09年以前成果
作者单位Beijing Jiaotong University
推荐引用方式
GB/T 7714
Li B. Color Constancy Based on Image Similarity[J]. IEICE Trans. On Inf. & Sys.,2008,E91-D(2):75-378.
APA Li B.(2008).Color Constancy Based on Image Similarity.IEICE Trans. On Inf. & Sys.,E91-D(2),75-378.
MLA Li B."Color Constancy Based on Image Similarity".IEICE Trans. On Inf. & Sys. E91-D.2(2008):75-378.
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