A regularized constrained iterative restoration algorithm for restoring color-quantized images

被引:2
|
作者
Chan, YH [1 ]
Fung, YH [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Ctr Multimedia Signal Proc, Kowloon, Hong Kong, Peoples R China
关键词
image restoration; color image processing; color quantization; regularization; projection onto convex sets; constrained least square; CIELAB;
D O I
10.1016/j.sigpro.2005.01.009
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper studies the restoration of color-quantized images. Restoration of color-quantized images is rarely addressed in literature, and direct applications of existing restoration techniques are generally inadequate to deal with this problem. In this paper, we propose a restoration algorithm for restoring color-quantized images. This algorithm makes good use of the available color palette to derive useful a priori information for restoration. Simulation results show that it can improve the quality of a color-quantized image remarkably in terms of both SNR and CIELAB color difference metric. Its performance is obviously better than that of other conventional algorithms in the simulation. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:1375 / 1387
页数:13
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