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Multichannel Blind Image Restoration Using Subspace-Based Extended CLS Method

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3 Author(s)
Yaping Zhu ; Dept. of Commun. Eng., Commun. Univ. of China, Beijing, China ; Ling Wang ; Jianping Chai

This paper presents a new algorithm based on subspace and extended constrained least squares (CLS) for multichannel blind image restoration. Subspace-based methods are good solutions for multichannel blind image restoration, but always sensitive to noise. An adaptive singular value decomposition (SVD)-based denoising technique is used to improve the degraded images quality, and a priori distribution of blurs derived from subspace approach is added to the extended CLS multichannel blind image restoration method, which makes a new regularization function to recover images. Experimental results show that, this algorithm is convergent and works well even on very noisy circumstances.

Published in:

Management and Service Science, 2009. MASS '09. International Conference on

Date of Conference:

20-22 Sept. 2009