Unsupervised colorization of black-and-white cartoons

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

  • Affiliations:
  • Czech Technical University in Prague;Digital Media Production;Czech Technical University in Prague

  • Venue:
  • Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a novel color-by-example technique which combines image segmentation, patch-based sampling and probabilistic reasoning. This method is able to automate colorization when new color information is applied on the already designed black-and-white cartoon. Our technique is especially suitable for cartoons digitized from classical celluloid films, which were originally produced by a paper or cel based method. In this case, the background is usually a static image and only the dynamic foreground needs to be colored frame-by-frame. We also assume that objects in the foreground layer consist of several well visible outlines which will emphasize the shape of homogeneous regions.