CASIA OpenIR  > 09年以前成果
Color Constancy Based on Image Similarity
Li B(李兵)
Source PublicationIEICE Trans. On Inf. & Sys.
2008
VolumeE91-DIssue:2Pages:75-378
Abstract
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.
KeywordColor Constancy
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20379
Collection09年以前成果
AffiliationBeijing Jiaotong University
Recommended Citation
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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