Use of second-order derivative-based smoothness measure for error concealment in transform-based codecs

Wenwu Zhu, Yao Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we study the recovery of lost or erroneous transform coefficients in image communication systems employing block transform codecs. Previously, Wang et al. have developed a technique that exploits the smoothness property of image signals, and recovered the damaged blocks by maximizing a smoothness measure. There the first order derivative was used as the smoothness measure, which can lead to the blurring of sharp edges. In order to alleviate the edge blurring problem of this method, in this paper, we study the use of second order derivatives as the smoothness measure, including the quadratic variation and the Laplacian operators. Our simulation results show that a weighted combination of the quadratic variation and the Laplacian operator can significantly reduce the blurring across the edges while enforcing smoothness along the edges.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages1205-1214
Number of pages10
Edition2/-
ISBN (Print)0819418587
StatePublished - 1995
EventVisual Communications and Image Processing '95 - Taipei, Taiwan
Duration: May 24 1995May 26 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Number2/-
Volume2501
ISSN (Print)0277-786X

Other

OtherVisual Communications and Image Processing '95
CityTaipei, Taiwan
Period5/24/955/26/95

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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