• DocumentCode
    3159811
  • Title

    Image information content assessment and elicitation

  • Author

    Diamant, Emanuel

  • Author_Institution
    VIDIA-mant, Kiriat Ono, Israel
  • fYear
    2002
  • fDate
    1 Dec. 2002
  • Firstpage
    66
  • Lastpage
    68
  • Abstract
    Despite impressive progress in computer technologies, evolutionary shaped biological visual systems continue to be superior over human-made (computer-based) systems. One of the reasons for that is the striking dissimilarity in low-level image processing paradigms that the two systems sustain. While biological systems are busy with information processing, (from the very beginning, from the input front-end), their computer-based analogs are occupied with data processing, - endless and tireless number crunching. It is widely believed, that mimicking properties of biological visual systems in design of their computer-based counterparts will greatly improve the performances of the latter. Although convincing evidences of such ventures are still, let us say, not widely known, this mock-up approach is exactly what we had attempted to carry out, and what we would like to explain in this paper.
  • Keywords
    biomimetics; computer vision; biological visual system; computer-based visual system; data processing; information processing; low-level image processing; Biological information theory; Biological systems; Biology computing; Image processing; Modems; Photoreceptors; Power engineering and energy; Retina; Systems engineering and theory; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 2002. The 22nd Convention of
  • Print_ISBN
    0-7803-7693-5
  • Type

    conf

  • DOI
    10.1109/EEEI.2002.1178325
  • Filename
    1178325