• DocumentCode
    3254280
  • Title

    Suppression of ringing artifacts with an adaptive shrinkage algorithm

  • Author

    Law, Ngai-Fong ; Siu, Wan-chi ; Feng, Degan

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Hung Hom, Hong Kong
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    181
  • Lastpage
    184
  • Abstract
    A non-iterative wavelet-based algorithm was proposed to reduce the ringing artifacts associated with a lossy compressed image. The proposed algorithm is based on the fact that increases in magnitude of the quantized wavelet coefficients lead to decreases in visual smoothness. Thus a shrinkage algorithm is applied to maintain visual smoothness. The proposed algorithm is, however, adaptive in nature, in which the amount of shrinkage depends on edge strength, region activity and compression ratio. Experimental results have confirmed that the adaptive algorithm could suppress the ringing artifacts and improve visual smoothness, especially around edges where ringing is severe
  • Keywords
    data compression; image coding; image reconstruction; image texture; smoothing methods; transform coding; wavelet transforms; adaptive shrinkage algorithm; compression ratio; edge strength; image compression; lossy compressed image; non-iterative wavelet-based algorithm; non-texture regions; quantized wavelet coefficients; region activity; ringing artifacts suppression; texture regions; visual smoothness; Adaptive algorithm; Adaptive signal processing; Decoding; Filters; Image coding; Quantization; Signal processing algorithms; Smoothing methods; Wavelet coefficients; Wavelet domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing, 1999 IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-5582-2
  • Type

    conf

  • DOI
    10.1109/PACRIM.1999.799507
  • Filename
    799507