Preserving Maximum Color Contrast in Generation of Gray Images

  • Alex Yong-Sang Chia
  • Keita Yaegashi
  • Soh Masuko
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9443)


We propose a method to preserve maximum color contrast when converting a color image to its gray representation. Specifically, we aim to preserve color contrast in the color image as gray contrast in the gray image. Given a color image, we first extract unique colors of the image through robust clustering for its color values. We tailor a non-linear decolorization function that preserves the maximum contrast in the gray image on the basis of the color contrast between the unique colors. A key contribution of our method is the proposal of a color-gray feature that tightly couples color contrast information with gray contrast information. We compute the optimal color-gray feature, and focus the search for a decolorization function on generating a color-gray feature that is most similar to the optimal one. This decolorization function is then used to convert the color image to its gray representation. Our experiments and a user study demonstrate the superior performance of this method in comparison with current state-of-the-art techniques.


Image processing Image decolorization Feature representation Coarse-to-fine search 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Alex Yong-Sang Chia
    • 1
  • Keita Yaegashi
    • 2
  • Soh Masuko
    • 2
  1. 1.Rakuten Institute of TechnologySingaporeSingapore
  2. 2.Rakuten Institute of TechnologyTokyoJapan

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