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Iterative Adaptive Hybrid Image Restoration for Fast Convergence  

Ko, Kyel (숭실대학교 정보통신전자공학부)
Hong, Min-Cheol (숭실대학교 정보통신전자공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.9C, 2010 , pp. 743-747 More about this Journal
Abstract
This paper presents an iterative adaptive hybrid image restoration algorithm for fast convergence. The local variance, mean, and maximum value are used to constrain the solution space. These parameters are computed at each iteration step using partially restored image at each iteration, and they are used to impose the degree of local smoothness on the solution. The resulting iterative algorithm exhibits increased convergence speed and better performance than typical regularized constrained least squares (RCLS) approach.
Keywords
Restoration; Iteration; Local Smoothness; Convergence; Constrained Least Squares;
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