Title :
Colorization Using the Rotation-Invariant Feature Space
Author :
Bin Sheng ; Hanqiu Sun ; Shunbin Chen ; Xuehui Liu ; Enhua Wu
Author_Institution :
Chinese Univ. of Hong Kong, Hong Kong, China
Abstract :
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.
Keywords :
Gabor filters; channel bank filters; image colour analysis; image resolution; image segmentation; image texture; optimisation; colorization; image segmentation; optimization; rotation-invariant Gabor filter banks; rotation-invariant feature space; texture features; Color; Feature extraction; Image recognition; Image segmentation; Rotation measurement; computer graphics; computer vision; display algorithms; graphics and multimedia; image generation; image processing; picture generation;
Journal_Title :
Computer Graphics and Applications, IEEE
DOI :
10.1109/MCG.2011.18
