A Multi-scale Adaptive Grey World Algorithm

CASIA OpenIR > 09年以前成果

	A Multi-scale Adaptive Grey World Algorithm
	Li B(李兵)
发表期刊	IEICE Trans. On Inf. & Sys.
	2007
卷号	E91-D 期号:7 页码:1121-1124
摘要	Grey world algorithm is a well-known color constancy algorithm. It based on the Grey-World assumption i.e., the average reflectance of surfaces in the world is achromatic. This algorithm is simple and has low computational costs. However, for the few color images, the light source color could not be estimated correctly using the Grey World algorithm. In this paper, we propose a multi-scale adaptive grey world algorithm (MAGW). First, multi-scale images are obtained based on wavelet transformation and the illumination color is estimated from different scales images. Then according to the estimated illumination color, the original image is mapped into under a canonical illumination with supervision of an adaptive reliability function, which is based on the image entropy. The experimental results show that our algorithm is effective and also has low computational costs.
关键词	Color Constancy
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/20381
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. A Multi-scale Adaptive Grey World Algorithm[J]. IEICE Trans. On Inf. & Sys.,2007,E91-D(7):1121-1124.
APA	Li B.(2007).A Multi-scale Adaptive Grey World Algorithm.IEICE Trans. On Inf. & Sys.,E91-D(7),1121-1124.
MLA	Li B."A Multi-scale Adaptive Grey World Algorithm".IEICE Trans. On Inf. & Sys. E91-D.7(2007):1121-1124.