• DocumentCode
    2749784
  • Title

    Device-independent color correction for multimedia applications using neural networks and abductive modeling approaches

  • Author

    Shastri, Vasant ; Rabel, L.C. ; Onjeyekwe, Egoddu

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Ohio Univ., Athens, OH, USA
  • Volume
    4
  • fYear
    1996
  • fDate
    3-6 Jun 1996
  • Firstpage
    2176
  • Abstract
    Although color has appeal for developers and consumers alike, color reproduction poses a major problem in many computer based applications inducting multimedia and desktop publishing. The problem arises because of device independence of color, and the way each device processes color. In order to control the error in porting color, different traditional techniques have been applied. In this paper the utilization of artificial neural networks as well as abductive modelling approaches to color error reduction are introduced from an RGB (red/green/blue) color model perspective. Analysis of the results and ongoing research issues are discussed
  • Keywords
    colour graphics; image colour analysis; multimedia computing; neural nets; RGB color model; abductive modeling; color error reduction; color reproduction; device-independent color correction; multimedia; neural networks; Application software; Color; Computer aided manufacturing; Computer errors; Computer science; Error correction; Manufacturing systems; Multimedia systems; Neural networks; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1996., IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-3210-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1996.549239
  • Filename
    549239