Evolutionary best neighborhood matching algorithm for error concealment of block-based image coding

Z. Wang, Dapeng Zhang, K. Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

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.
Original languageEnglish
Pages (from-to)87-94
Number of pages8
JournalImage processing & communications
Volume7
Issue number2018-02-01
Publication statusPublished - 2001

Keywords

  • Best - Neighborhood - Matching (BNM)
  • Error Concealment Algorithm of Image
  • Evolutionary Strategy (ES)

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