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Colorization Using the Rotation-Invariant Feature Space
March/April 2011 (vol. 31 no. 2)
pp. 24-35
Bin Sheng, Chinese University of Hong Kong
Hanqiu Sun, Chinese University of Hong Kong
Shunbin Chen, Chinese Academy of Sciences
Xuehui Liu, Chinese Academy of Sciences
Enhua Wu, Chinese Academy of Sciences
Current colorization based on image segmentation makes it difficult to add or update color reliably and requires considerable user intervention. A new approach gives similar colors to pixels with similar texture features. To do this, it uses rotation-invariant Gabor filter banks and applies optimization in the feature space.

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Index Terms:
computer graphics, picture generation, image generation, display algorithms, image processing, computer vision, graphics and multimedia
Citation:
Bin Sheng, Hanqiu Sun, Shunbin Chen, Xuehui Liu, Enhua Wu, "Colorization Using the Rotation-Invariant Feature Space," IEEE Computer Graphics and Applications, vol. 31, no. 2, pp. 24-35, March-April 2011, doi:10.1109/MCG.2011.18
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