• DocumentCode
    2034666
  • Title

    Adaptive visual pattern image coding

  • Author

    Silsbee, Peter L. ; Bovik, Alan C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    2765
  • Abstract
    Hierarchical visual pattern image coding (HVPIC) is a highly successful, low-computational-cost, pyramidal image coding scheme which utilizes human visual system (HVS) properties to achieve very low bit rates while maintaining a good perceived image quality. A description is presented of an extension of HVPIC, termed adaptive VPIC (AVPIC), which results in a decreased bit rate for most images with very little additional computation and virtually no further image degradation. After coding but before transmission, the encoder analyzes what it has done, and reduces the transmission bit rate by eliminating high-resolution information about low-resolution portions of the image. The method is adaptive in the sense that the bit rate is locally adjusted to match the level of detail present in an image region
  • Keywords
    computerised picture processing; encoding; trees (mathematics); visual perception; adaptive VPIC; hierarchical visual pattern image coding; human visual system properties; pyramidal image coding scheme; quadtrees; transmission bit rate; Bit rate; Computational efficiency; Decoding; Humans; Image coding; Image quality; Laboratories; Machine vision; Pixel; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150975
  • Filename
    150975