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Color for Black-and-White Cartoons
Daniel Sýkora, Jan Buriánek, Jiří Žára.
CVUT Workshop, pp. 184--185, Prague, Czech Republic, March,
2004. [BibTeX]
Colorization of Black-and-White Cartoons
Author(s): Daniel Sýkora, Jan Buriánek, Jiří Žára.
Article: Image and Vision Computing, Vol. 23, No. 9, pp. 767-782, September,
2005.
[BibTeX] 
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.
Segmentation of Black-and-White Cartoons
Daniel Sýkora, Jan Buriánek, Jiří Žára.
19th Spring Conference on Computer Graphics (SCCG'03), pp. 223--230, Budmerice, Slovakia, April,
2003. [BibTeX]
Sketching Cartoons by Example
Daniel Sýkora, Jan Buriánek, Jiří Žára.
2nd Eurographics Workshop on Sketch-Based Interfaces and Modeling (SBM'05), pp. 27--34, Dublin, Ireland, August,
2005. [BibTeX]
Unsupervised Colorization of Black-and-White Cartoons
Daniel Sýkora, Jan Buriánek, Jiří Žára.
3rd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'04), pp. 121--127, Annecy, France, June,
2004. [BibTeX]