• DocumentCode
    598148
  • Title

    Image colorization based on the mixed l0/l1 norm minimization

  • Author

    Uruma, Kazunori ; Konishi, Katsumi ; Takahashi, Tatsuro ; Furukawa, Toshihiro

  • Author_Institution
    Grad. Sch. of Eng., Tokyo Univ. of Sci., Tokyo, Japan
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    2113
  • Lastpage
    2116
  • Abstract
    This paper proposes a new image colorization algorithm based on the mixed L0/L1 norm minimization. Introducing some assumptions, a problem of recovering a color image from a grayscale image with the small number of known color pixels is formulated as a mixed L0/L1 norm minimization, which is solved approximately by an iterative reweighted least squares (IRLS) algorithm. Numerical examples show that the proposed algorithm colorizes a grayscale image well using a small number of color pixels.
  • Keywords
    image colour analysis; iterative methods; least squares approximations; color image recovery; grayscale image; image colorization; iterative reweighted least squares algorithm; mixed L0/L1 norm minimization; Color; Gray-scale; Image color analysis; Matrix converters; Minimization; TV; Vectors; image colorization; image restoration; matrix completion; sparse optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467309
  • Filename
    6467309
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=598148