• DocumentCode
    388016
  • Title

    An image coding technique using a human visual system model and image analysis criteria

  • Author

    Nobakht, Ramin A. ; Rajala, Sarah A.

  • Author_Institution
    North Carolina State University, Raleigh, N.C.
  • Volume
    12
  • fYear
    1987
  • fDate
    31868
  • Firstpage
    1358
  • Lastpage
    1361
  • Abstract
    Recently, ways to obtain a new generation of image-coding techniques have been proposed. The incorporation of the human visual system (HVS) models and tools of the image analysis, such as segmentation, are two defining features of these techniques. In this paper, a new image coding technique is presented which utilizes a human visual system model and a image analysis criteria together with the technique of projection onto convex sets (POCS). The human visual system model is used to determine the most probable perceptual information of an image and the removal of irrelevant information. The projection onto convex sets operation is used as a restoration technique aimed at correcting the degradations caused by the conventional coders in the transmitter part of the channel. And finally, the image analysis based technique is used as an interpolator in order to predict the unknown regions of the received image. This new technique can be used in single frame image coding applications to obtain acceptable images at extremely high compression rates.
  • Keywords
    Bandwidth; Humans; Image analysis; Image coding; Nonlinear optics; Optical filters; Optical modulation; Optical receivers; Optical transmitters; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1987.1169461
  • Filename
    1169461