• DocumentCode
    763935
  • Title

    Data compression of stereopairs

  • Author

    Perkins, Michael G.

  • Author_Institution
    German Aerosp. Res. Establ., Inst. for Commun. Technol., Oberpfaffenhofen, Germany
  • Volume
    40
  • Issue
    4
  • fYear
    1992
  • fDate
    4/1/1992 12:00:00 AM
  • Firstpage
    684
  • Lastpage
    696
  • Abstract
    Two fundamentally different techniques for compressing stereopairs are discussed. The first technique, called disparity-compensated transform-domain predictive coding, attempts to minimize the mean-square error between the original stereopair and the compressed stereopair. The second technique, called mixed-resolution coding, is a psychophysically justified technique that exploits known facts about human stereovision to code stereopairs in a subjectively acceptable manner. A method for assessing the quality of compressed stereopairs is also presented. It involves measuring the ability of an observer to perceive depth in coded stereopairs. It was found that observers generally perceived objects to be further away in compressed stereopairs than they did in originals. It is proved that the rate distortion limit for coding stereopairs cannot in general be achieved by a coder that first codes and decodes the right picture sequence independently of the left picture sequence, and then codes and decodes the left picture sequence given the decoded right picture sequence
  • Keywords
    data compression; encoding; filtering and prediction theory; picture processing; visual perception; compressed stereopair; depth perception; disparity-compensated transform-domain predictive coding; human stereovision; left picture sequence; mixed-resolution coding; original stereopair; psychophysically justified technique; rate distortion limit; right picture sequence; stereopair coding; stereopair data compression; Application software; Data compression; Decoding; Humans; Image coding; Layout; Predictive coding; Psychology; Rate-distortion; Retina;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.141424
  • Filename
    141424