Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62991
Title: Evolutionary best neighborhood matching algorithm for error concealment of block-based image coding
Authors: Wang, Z
Zhang, D 
Wang, K
Keywords: Best - Neighborhood - Matching (BNM)
Error Concealment Algorithm of Image
Evolutionary Strategy (ES)
Issue Date: 2001
Publisher: Uniwersytet Technologiczno-Przyrodniczy w Bydgoszczy
Source: Image processing & communications, 2001, v. 7, no. 1-2, p. 87-94 How to cite?
Journal: Image processing & communications 
Abstract: Best - Neighborhood - Matching (BNM) is a novel error concealment algorithm by employing long-range blockwise similarity in the image, which has proved to be a significant improvement over traditional approaches [10]. However, one of the major drawbacks of the BNM algorithm is its exhaustive searching procedure, which leads to a very high computation burden. This paper proposes an improved version of the BNM method by combining Evolutionary Strategy (ES) into the searching procedure. Compared with the basic BNM algorithm, our new scheme, named ES-BNM algorithm, can obtain similar error concealment results in much shorter time. ES-BNM can be also viewed as a new successful application that demonstrates the powerful searching ability of ES.
URI: http://hdl.handle.net/10397/62991
ISSN: 1425-140X
EISSN: 2199-6199
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