• DocumentCode
    2817260
  • Title

    Three kinds of color total-variation semi-norms and its application to color-image denoising

  • Author

    Saito, Takahiro ; Takagaki, Yousuke ; Komatsu, Takashi

  • Author_Institution
    Dept. of Electron. & Inf. Frontiers, Kanagawa Univ., Yokohama, Japan
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    1457
  • Lastpage
    1460
  • Abstract
    This paper extends the total-variation (TV) semi-norm of a scalar-valued image to a new color TV semi-norm of a color image, in the definition of which interdependence among the three primary color channels is taken into account. This paper defines a 12-D color-gradient operator that treats primary color signals and color-difference signals collectively; and then with the color-gradient operator this paper defines three kinds of color-TV semi-norms: isotropic, semi-isotropic, and anisotropic color TV semi-norms. By introducing dual definitions of the color-TV semi-norms, this paper reformulates color-TV variational denoising problems, and solves their dual problems with the projected gradient solver. Experimental simulations of color-image denoising demonstrate that the color TV semi-norms achieve selective noise-removal much more efficiently than the classic TV semi-norm, and show the merits and demerits among the three color TV semi-norms.
  • Keywords
    image colour analysis; image denoising; 12D color-gradient operator; anisotropic color TV semi-norms; color total-variation semi-norms; color-TV variational denoising problem; color-difference signals; color-image denoising; isotropic color TV semi-norms; primary color signals; projected gradient solver; scalar-valued image; selective noise-removal; semiisotropic TV semi-norms; Arrays; Color; Colored noise; Image color analysis; Noise reduction; TV; Vectors; Color-image processing; denoising; projected gradient solver; total-variation semi-norm; variational problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6115716
  • Filename
    6115716