• DocumentCode
    1243781
  • Title

    High compression image coding using an adaptive morphological subband decomposition

  • Author

    Egger, Oliver ; Li, Wei ; Kunt, Murat

  • Author_Institution
    Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
  • Volume
    83
  • Issue
    2
  • fYear
    1995
  • fDate
    2/1/1995 12:00:00 AM
  • Firstpage
    272
  • Lastpage
    287
  • Abstract
    A morphological subband decomposition with perfect reconstruction is proposed. Critical subsampling is achieved. The reconstructed images using this decomposition do not suffer from any ringing effect. In order to avoid poor texture representation by the morphological filters an adaptive subband decomposition is introduced. It chooses linear filters on textured regions and morphological filters otherwise. A simple and efficient texture detection criterion is proposed and applied to the adaptive decomposition. 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 filters; adaptive signal detection; adaptive signal processing; filtering theory; image coding; image reconstruction; image sampling; image texture; mathematical morphology; JPEG coding; PSNR; adaptive morphological subband decomposition; image coding; image compression; linear filters; linear subband coding; morphological filters; perfect reconstruction; subsampling; texture detection criterion; texture representation; textured regions; visual quality; Adaptive filters; Ear; Filter bank; Humans; Image coding; Image reconstruction; Multiresolution analysis; Nonlinear filters; PSNR; Transform coding;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/5.364462
  • Filename
    364462