Colorization of black-and-white cartoons

  • Authors:
  • Daniel Sýkora;Jan Buriánek;Jiří ára

  • Affiliations:
  • Department of Computer Science and Engineering, Czech Technical University in Prague, FEE, Technická 2, 166 27 Praha 6, Czech Republic;Digital Media Production, Mečislavova 164/7, 140 00 Praha 4, Czech Republic;Department of Computer Science and Engineering, Czech Technical University in Prague, FEE, Technická 2, 166 27 Praha 6, Czech Republic

  • Venue:
  • Image and Vision Computing
  • Year:
  • 2005

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Abstract

We introduce a novel colorization framework for old black-and-white cartoons originally produced by a cel or paper based technology. In this case, the dynamic part of the scene is represented by a set of outlined homogeneous regions which superimpose the static background. To reduce a large amount of manual intervention we combine unsupervised image segmentation, background reconstruction, and structural prediction. Our system allows the user to specify the brightness of applied colors unlike the most of previous approaches which operate only with hue and saturation. We also present simple but effective color modulation, composition and dust spot removal techniques able to produce color images in broadcast quality without additional user intervention.