• DocumentCode
    3070579
  • Title

    Fast Digital Image Colorization Technique

  • Author

    Lagodzinski, Przemyslaw ; Smolka, Bogdan

  • Author_Institution
    Silesian Univ. of Technol., Gliwice
  • fYear
    2007
  • fDate
    15-18 Dec. 2007
  • Firstpage
    813
  • Lastpage
    818
  • Abstract
    Colorization is a term used to describe a computerized process for adding color to black and white pictures, movies or TV programs. This process involves replacing a scalar value stored at each pixel of the gray scale image that represents its intensity or luminance by a vector in a three dimensional color space with luminance, saturation and hue or simply RGB. Since mapping between intensity and color has no inherently "correct" solution, human interaction and/or external information usually play a large role. In this paper we present a novel colorization method that takes advantage of the morphological distance transformation and image structures to propagate color within the gray scale image. The proposed method does not need precise segmentation, since the color is provided simply by scribbles which are next automatically propagated within the image. The effectiveness of the algorithm allows the user to work interactively and to obtain the desired results promptly after providing the color scribbles. In the paper we show that the proposed method allows for high quality colorization results for still images.
  • Keywords
    computer vision; image colour analysis; optimisation; transforms; RGB color space; computer vision; digital image colorization technique; gray scale image; high quality colorization; human interaction; image structures; morphological distance transformation; optimization; still images; Color; Computer vision; Digital images; Discrete transforms; Euclidean distance; Humans; Image segmentation; Motion pictures; Pixel; Signal processing algorithms; Colorization; color blending; computer vision; distance transformation; gradient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2007 IEEE International Symposium on
  • Conference_Location
    Giza
  • Print_ISBN
    978-1-4244-1835-0
  • Electronic_ISBN
    978-1-4244-1835-0
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2007.4458137
  • Filename
    4458137