Colorization of Black-and-White Cartoons
Image and Vision Computing 23(9):767-782, 2005
We introduce a novel colorization framework for old black-and-white
cartoons which has been 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 that superimpose static background. To reduce a large
amount of manual intervention we combine unsupervised image segmentation,
background reconstruction and structural prediction. Our system in addition
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
a simple but effective color modulation, composition and dust spot removal
techniques able produce color images in broadcast quality without additional
user intervention.
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