• DocumentCode
    756962
  • Title

    Error resilient pre/post-filtering for DCT-based block coding systems

  • Author

    Tu, Chengjie ; Tran, Trac D. ; Liang, Jie

  • Author_Institution
    Microsoft Digital Media Div., Microsoft Corp., Redmond, WA, USA
  • Volume
    15
  • Issue
    1
  • fYear
    2006
  • Firstpage
    30
  • Lastpage
    39
  • Abstract
    Block coding based on the discrete cosine transform (DCT) is very popular in image and video compression. Pre/post-filtering can be attached to a DCT-based block coding system to improve coding efficiency as well as to mitigate blocking artifacts. Previously designed pre/post-filters are optimized to maximize coding efficiency solely. For image and video communication over unreliable channels, those pre/post-filters are sensitive to transmission errors. This paper addresses the problem of designing pre/post-filters which are more error resilient. Reconstruction performance is measured by how low the average reconstruction error is, and how uniformly the reconstruction error is distributed. A family of pre/post-filters is designed to provide desired tradeoffs between coding efficiency and robustness to transmission errors. Experiments show that these filtering operators can achieve superior reconstruction performance without sacrificing much coding performance.
  • Keywords
    block codes; data compression; discrete cosine transforms; filtering theory; transform coding; video coding; DCT-based block coding systems; blocking artifacts mitigation; discrete cosine transform; error resilient postfiltering; error resilient prefiltering; image communication; image compression; reconstruction error; transmission errors; unreliable channels; video communication; video compression; Block codes; Design optimization; Discrete cosine transforms; Filtering; Image coding; Image reconstruction; Quantization; Transform coding; Video coding; Video compression; Block coding; discrete cosine transform (DCT); error resilience; pre/post-filtering; Algorithms; Computer Graphics; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2005.860350
  • Filename
    1556622