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A Regularized Mixed Norm Multi-Channel Image Restoration Algorithm  

홍민철 (숭실대학교 정보통신공학부)
신요안 (숭실대학교 정보통신공학부)
이원철 (숭실대학교 정보통신공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.29, no.2C, 2004 , pp. 272-282 More about this Journal
Abstract
This paper introduces a regularized mixed norm multi-channel image restoration algorithm using both within-and between- channel deterministic information. For each channel a functional which combines the least mean squares (LMS), the least mean fourth (LMF), and a smoothing functional is proposed. We introduce a mixed norm parameter that controls the relative contribution between the LMS and the LMF, and a regularization parameter defining the degree of smoothness of the solution, where both parameters are updated at each iteration according to the noise characteristics of each channel. The novelty of the proposed algorithm is that no knowledge of the noise distribution for each channel is required and that the parameters mentioned above are adjusted based on the partially restored image.
Keywords
LMS; LMF;
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