• DocumentCode
    350284
  • Title

    Adaptive shrinkage algorithm for ringing suppression with smoothness constraint

  • Author

    Law, Ngai-Fong ; Siu, Wan-chi

  • Author_Institution
    Centre for Multimedia Signal Process., Hong Kong Polytech., Kowloon, Hong Kong
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    364
  • 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 an increase in the magnitude of the quantized wavelet coefficients leads to a decrease in visual smoothness. Thus a shrinkage algorithm is applied to maintain visual smoothness. The proposed algorithm is, however, adaptive in nature and 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; quantisation (signal); wavelet transforms; adaptive shrinkage algorithm; compression ratio; edge strength; lossy compressed image; noniterative wavelet-based algorithm; quantized wavelet coefficients; region activity; ringing artifacts; ringing suppression; visual smoothness constraint; 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
    Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-7803-5467-2
  • Type

    conf

  • DOI
    10.1109/ICIP.1999.817136
  • Filename
    817136