• DocumentCode
    2072228
  • Title

    Very low bit rate image coding using morphological operators and adaptive decompositions

  • Author

    Egger, Olivier ; Li, Wei

  • Author_Institution
    Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
  • Volume
    2
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    326
  • Abstract
    A morphological subband decomposition with perfect reconstruction is proposed. Critical subsampling is achieved. Reconstructed images using this decomposition do not suffer from any ringing effect. In order to avoid poor texture representation by morphological filters an adaptive subband decomposition is introduced. It chooses linear filters on textured regions and morphological filters otherwise. Comparisons to other coding techniques such as JPEG and linear subband coding show that the proposed scheme performs significantly better both in terms of PSNR and visual quality
  • Keywords
    adaptive codes; data compression; image coding; image reconstruction; image representation; image sampling; image segmentation; image texture; mathematical morphology; adaptive decompositions; adaptive subband decomposition; critical subsampling; linear filters; morphological filters; morphological operators; morphological subband decomposition; perfect reconstruction; reconstructed images; ringing effect; texture representation; textured regions; very low bit rate image coding; visual quality; Adaptive filters; Adaptive signal processing; Bit rate; Filter bank; Humans; Image coding; Image reconstruction; Image sampling; Low pass filters; Nonlinear filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413585
  • Filename
    413585