Color Style Transfer Techniques using Hue, Lightness and Saturation Histogram Matching

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s): not specified
• Date: May 2005
• ISBN: 3905673274
• Location: Girona, Spain
• Lecturer: László Neumann
• Editor: L. Neumann, M. Sbert, B. Gooch, W. Purgathofer
• Booktitle: Computational Aesthetics in Graphics, Visualization and Imaging 2005
• Conference date: 18. May 2005 – 20. May 2005
• Pages: 111 – 122

Abstract

We present new methods which transfer the color style of a source image into an arbitrary given target image having a different 3D color distribution. The color transfer has a high importance ensuring a wide area of applications from artistic transformation of the color atmosphere of images until different scientific visualizations using special gamut mappings. Our technique use a permissive, or optionally strict, 3D histogram matching, similarly to the sampling of multivariable functions applying a sequential chain of conditional probability density functions. We work by order of hue, hue dependent lightness and from both dependent saturation histograms of source and target images, respectively. We apply different histogram transformations, like smoothing or contrast limitation, in order to avoid some unexpected high gradients and other artifacts. Furthermore, we use dominance suppression optionally, by applying sub-linear functions for the histograms in order to get well balanced color distributions, or an overall appearance reflecting the memory color distribution better. Forward and inverse operations on the corresponding cumulative histograms ensure a continuous mapping of perceptual attributes correlating to limited derivatives. Sampling an appropriate fraction of the pixels and using perceptually accurate and continuous histograms with minimal size as well as other gems make this method robust and fast.

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BibTeX

@inproceedings{lneumann-2005-cst,
  title =      "Color Style Transfer Techniques using Hue, Lightness and
               Saturation Histogram Matching",
  author =     "L\'{a}szl\'{o} Neumann and Attila Neumann",
  year =       "2005",
  abstract =   "We present new methods which transfer the color style of a
               source image into an arbitrary given target image having a
               different 3D color distribution. The color transfer has a
               high importance ensuring a wide area of applications from
               artistic transformation of the color atmosphere of images
               until different scientific visualizations using special
               gamut mappings. Our technique use a permissive, or
               optionally strict, 3D histogram matching, similarly to the
               sampling of multivariable functions applying a sequential
               chain of conditional probability density functions. We work
               by order of hue, hue dependent lightness and from both
               dependent saturation histograms of source and target images,
               respectively. We apply different histogram transformations,
               like smoothing or contrast limitation, in order to avoid
               some unexpected high gradients and other artifacts.
               Furthermore, we use dominance suppression optionally, by
               applying sub-linear functions for the histograms in order to
               get well balanced color distributions, or an overall
               appearance reflecting the memory color distribution better.
               Forward and inverse operations on the corresponding
               cumulative histograms ensure a continuous mapping of
               perceptual attributes correlating to limited derivatives.
               Sampling an appropriate fraction of the pixels and using
               perceptually accurate and continuous histograms with minimal
               size as well as other gems make this method robust and fast.",
  month =      may,
  isbn =       "3905673274",
  location =   "Girona, Spain",
  editor =     "L. Neumann, M. Sbert, B. Gooch, W. Purgathofer",
  booktitle =  "Computational Aesthetics in Graphics, Visualization and
               Imaging 2005",
  pages =      "111--122",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cst/",
}