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Subject: Computer Science
Title:
colorization using the rotation-invariant feature space
Author: Sheng Bin ; Sun Hanqiu ; Chen Shunbin ; Liu Xuehui ; Wu Enhua
Source: IEEE COMPUTER GRAPHICS AND APPLICATIONS
Issued Date: 2011
Volume: 31, Issue:2, Pages:24-35
Indexed Type: SCI
Department: Sheng Bin; Sun Hanqiu Chinese Univ Hong Kong Hong Kong Hong Kong Peoples R China. Chen Shunbin; Liu Xuehui; Wu Enhua Chinese Acad Sci Inst Software Beijing 100864 Peoples R China.
Sponsorship: Hong Kong Research Grants Council416007, 415806; National Grand Fundamental Research 973 Program2009CB320802; University of Macau
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.
English 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.
Language: 英语
WOS ID: WOS:000287457400005
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Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16089
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Sheng Bin,Sun Hanqiu,Chen Shunbin,et al. colorization using the rotation-invariant feature space[J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS,2011-01-01,31(2):24-35.
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