• DocumentCode
    3264820
  • Title

    Image content matched directional filters for image coding based on contourlet transform

  • Author

    Gehrke, Tobias ; Greiner, Thomas ; Rosenstiel, Wolfgang

  • Author_Institution
    Pforzheim Univ., Pforzheim, Germany
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    237
  • Lastpage
    240
  • Abstract
    Due to the separability of its filters, the wavelet transform is suboptimal for transform coding of natural images. The contourlet transform is an approach to overcome this problem by employing directional filters. In contrast to the great number of filters available for the wavelet transform, few filters exist for use with contourlets. We describe a method for the design of directional filters, which can be tailored to specific image contents. The method numerically optimizes the coding gain of directional filters within the lifting framework. Thereto, a link is derived between the coefficients of directional filters and coding gain. An example of an optimized filter is presented and its superiority over a standard filter for contourlet based image coding is shown.
  • Keywords
    image coding; matched filters; transforms; coding gain optimization; contourlet transform; image coding; image content matched directional filters; image contents; Encoding; Image coding; Image reconstruction; Optimization; Quantization (signal); Standards; Transforms; Contourlets; filter design; image coding; matched filters; wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium (PCS), 2013
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4799-0292-7
  • Type

    conf

  • DOI
    10.1109/PCS.2013.6737727
  • Filename
    6737727