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Title: Fast block-based image restoration employing the improved best neighborhood matching approach
Authors: Li, W
Zhang, DD 
Liu, Z
Qiao, X
Issue Date: Jul-2005
Source: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans, July 2005, v. 35, no. 4, p. 546-555
Abstract: The best neighborhood matching (BNM) algorithm is an efficient approach for image restoration. However, its high computation overhead imposes an obstacle to its application. In this paper, a fast image restoration approach named jump and look around BNM (JLBNM) is proposed to reduce computation overhead of the BNM. The main idea of JLBNM is to employ two kinds of search mechanisms so that the whole search process can be sped up. Some optimization techniques for the restoration algorithm JLBNM are also developed, including adaptive threshold in the matching stage, the terminal threshold in the searching stage, and the application of an appropriate matching function in both the matching and recovering stages. Theoretical analysis and experiment results have shown that JLBNM not only can provide high quality for image restoration but also has low computation overhead.
Keywords: Best neighborhood matching (BNM) algorithm
Block-based coding image
Computation complexity
Image restoration
Transmission error
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans 
ISSN: 1083-4427
EISSN: 1083-4419
DOI: 10.1109/TSMCA.2005.850605
Rights: © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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