Multichannel image restoration using compound Gauss-Markov random fields

被引：0

作者：

Molina, R ^{[1
]}

Mateos, J ^{[1
]}

Katsaggelos, AK ^{[1
]}

机构：

[1] Univ Granada, Dept Ciencias Computac & IA, E-18071 Granada, Spain

来源：

2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI | 2000年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, a solution to the multichannel image restoration problem is provided using compound Gauss Markov random fields. For the single channel deblurring problem the convergence of the Simulated Annealing (SA) and Iterative Conditional Mode (ICM) algorithms has not been established. We propose two new iterative multichannel restoration algorithms which can be considered as extensions of the classical SA and ICM approaches and whose convergence is established. Experimental results with color images demonstrate the effectiveness of the proposed algorithms.

引用

页码：141 / 144

页数：4

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