• DocumentCode
    177860
  • Title

    Image colorization algorithm using series approximated sparse function

  • Author

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

  • Author_Institution
    Grad. Sch. of Eng., Tokyo Univ. of Sci., Tokyo, Japan
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    1215
  • Lastpage
    1219
  • Abstract
    This paper deals with an image colorization and proposes a new image colorization algorithm. Assuming that the difference of color values between neighbor pixels is given as a monotonically increasing function of the difference of grayscale values between neighbor pixels, a colorization function is proposed, and the colorization problem is formulated as the weighted least squares problem using this function. In order to reduce the dependence on the value of a parameter in the algorithm, this paper utilizes a finite series approximation and provides a fast colorization algorithm. Numerical examples show that the proposed algorithm colorizes a grayscale image efficiently.
  • Keywords
    image colour analysis; least squares approximations; optimisation; sparse matrices; finite series approximation; grayscale image; grayscale values; image colorization algorithm; monotonically increasing function; series approximated sparse function; weighted least squares problem; Algorithm design and analysis; Approximation algorithms; Gray-scale; Image color analysis; Least squares approximations; Minimization; Signal processing algorithms; image colorization; series approximation; sparse optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6853790
  • Filename
    6853790