• DocumentCode
    595367
  • Title

    Color-line vector field and local color component decomposition for smoothing and denoising of color images

  • Author

    Shirai, Keigo ; Okuda, Masumi ; Ikehara, Masaaki

  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    3050
  • Lastpage
    3053
  • Abstract
    Most conventional smoothing and denoising methods for color images deal with each color channel independently, which results in discolorations due to unbalancing the relation between the color components. In this paper, we propose a smoothing algorithm to reduce discolorations based on ”color-lines”. Our iterative algorithm consists of a local color decomposition step by color-line vectors and an iterative filtering step. Our numerical simulation shows that the method improves image quality with less discolorations while keeping the smoothing capability.
  • Keywords
    image colour analysis; image denoising; iterative methods; smoothing methods; vectors; color channel; color image denoising; color image smoothing; color-line vector field; discoloration reduction; image quality improvement; iterative algorithm; iterative filtering step; local color component decomposition step; numerical simulation; Colored noise; Image color analysis; Noise measurement; Noise reduction; Principal component analysis; Smoothing methods; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460808