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[CSU+05]  Example-Based Color Stylization of Images

Chang:2005:EBC (Article)
Author(s)Chang Y., Saito S., Uchikawa K. and Nakajima M.
Title« Example-Based Color Stylization of Images »
JournalACM Transactions on Applied Perception
Volume2
Number3
Page(s)322--345
Year2005

Abstract
We describe a new computational approach to stylize the colors of an image by using a reference image. During processing, we take the characteristics of human color perception into account to generate more appealing results. Our system starts by classifying each pixel value into one of the basic color categories, derived from our psychophysical experiments. The basic color categories are perceptual categories that are universal to everyone, regardless of nationality or cultural background. These categories are used to provide restrictions on color transformations to avoid generating unnatural results. Our system then renders a new image by transferring colors from a reference image to the input image, based on these categorizations. To avoid artifacts due to the explicit clustering, our system defines fuzzy categorization when pseudocontours appear in the resulting image. We present a variety of results and show that our method performs a large, yet natural, color transformation without any sense of incongruity and that the resulting images automatically capture the characteristics of the colors used in the reference image.

BibTeX code
@article{Chang:2005:EBC,
  optpostscript = {},
  number = {3},
  month = jul,
  author = {Youngha Chang and Suguru Saito and Keiji Uchikawa and Masayuki
            Nakajima},
  optkey = {},
  optannote = {},
  localfile = {papers/Chang.2005.EBC.pdf},
  optkeywords = {},
  doi = {http://doi.acm.org/10.1145/1077399.1077408},
  optciteseer = {},
  journal = j-TOAP,
  opturl = {},
  volume = {2},
  optwww = {},
  title = {{E}xample-{B}ased {C}olor {S}tylization of {I}mages},
  abstract = {We describe a new computational approach to stylize the colors of
              an image by using a reference image. During processing, we take
              the characteristics of human color perception into account to
              generate more appealing results. Our system starts by classifying
              each pixel value into one of the basic color categories, derived
              from our psychophysical experiments. The basic color categories
              are perceptual categories that are universal to everyone,
              regardless of nationality or cultural background. These categories
              are used to provide restrictions on color transformations to avoid
              generating unnatural results. Our system then renders a new image
              by transferring colors from a reference image to the input image,
              based on these categorizations. To avoid artifacts due to the
              explicit clustering, our system defines fuzzy categorization when
              pseudocontours appear in the resulting image. We present a variety
              of results and show that our method performs a large, yet natural,
              color transformation without any sense of incongruity and that the
              resulting images automatically capture the characteristics of the
              colors used in the reference image.},
  pages = {322--345},
  year = {2005},
}

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