• DocumentCode
    996434
  • Title

    Optical computing advances logically for image processing

  • Author

    Huang, Kung-Shiuh

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • Volume
    9
  • Issue
    3
  • fYear
    1993
  • fDate
    5/1/1993 12:00:00 AM
  • Firstpage
    27
  • Lastpage
    36
  • Abstract
    A powerful application of optical computation, digital optical cellular image processing (DOCIP), is discussed. DOCIP uses digital optical computing techniques to perform cellular logic operations or extended array functions on images. Cellular logic is reviewed, and a binary image algebra (BlA) that serves as an analysis and synthesis tool for cellular image processing systems is described. Some DOCIP architectures that have been proposed or experimentally demonstrated are discussed and classified as image-algebra-type processors or symbolic-substitution-type processors. The optical and optoelectronic implementations of these architectures are also discussed.<>
  • Keywords
    cellular arrays; hypercube networks; image processing; optical information processing; optical logic; parallel architectures; DOCIP architectures; binary image algebra; cellular logic operations; digital optical cellular image processing; digital optical computing techniques; extended array functions; image processing; image-algebra-type processors; optical computation; optoelectronic implementations; symbolic-substitution-type processors; Computer applications; Fiber nonlinear optics; Image processing; Logic arrays; Nonlinear optics; Optical arrays; Optical bistability; Optical computing; Optical filters; Optical interconnections;
  • fLanguage
    English
  • Journal_Title
    Circuits and Devices Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    8755-3996
  • Type

    jour

  • DOI
    10.1109/101.252338
  • Filename
    252338