• DocumentCode
    2000965
  • Title

    QR-RLS algorithm for error diffusion of color images

  • Author

    Bozkurt, Gözde ; Yardimci, Yasemin ; Ankan, Orhan ; Çetin, Enis

  • Author_Institution
    Dept. of Electr. Eng., Bilkent Univ., Ankara, Turkey
  • Volume
    2
  • fYear
    1998
  • fDate
    4-7 Oct 1998
  • Firstpage
    49
  • Abstract
    Printing color images on color printers, and displaying them on computer monitors requires a significant reduction of physically distinct colors, which causes degradation in image quality. An efficient method to improve the display quality of a quantized image is error diffusion which works by distributing the previous quantization errors to neighboring pixels exploiting the eye´s averaging of colors in the neighborhood of the point of interest. This creates the illusion of more colors. A new error diffusion method is presented in which the adaptive recursive least squares (RLS) algorithm is used rather than the deterministic approaches in literature. To improve the performance, a diagonal scan is used in processing the image
  • Keywords
    adaptive filters; adaptive signal processing; error analysis; filtering theory; image colour analysis; least squares approximations; monitoring; printers; quantisation (signal); recursive estimation; QR-RLS algorithm; adaptive recursive least squares; color image printing; computer monitors; display quality; error diffusion filter coefficients; halftone color printers; image display; image processing; image quality degradation; performance; pixels; point of interest; quantization errors; quantized image; Color; Computer displays; Computer errors; Degradation; Image quality; Least squares methods; Pixel; Printers; Printing; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-8186-8821-1
  • Type

    conf

  • DOI
    10.1109/ICIP.1998.723315
  • Filename
    723315