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Color image restoration via extended joint sparse model

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成果类型:
会议论文
作者:
Luo, Jie;Yang, Bin*;Chen, Zhongze
通讯作者:
Yang, Bin
作者机构:
[Chen, Zhongze; Luo, Jie; Yang, Bin] S China Univ, Coll Elect & Engn, Hengyang 421001, Peoples R China.
通讯机构:
[Yang, Bin] S
S China Univ, Coll Elect & Engn, Hengyang 421001, Peoples R China.
语种:
英文
关键词:
color processing;Extended joint sparse model;image representation;image restoration;inpainting
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2012
卷:
321
页码:
497-504
会议名称:
Chinese Conference on Pattern Recognition
会议论文集名称:
Communications in Computer and Information Science
会议时间:
SEP 24-26, 2012
会议地点:
Beijing, PEOPLES R CHINA
会议主办单位:
[Luo, Jie;Yang, Bin;Chen, Zhongze] S China Univ, Coll Elect & Engn, Hengyang 421001, Peoples R China.
会议赞助商:
CAS, Inst Automat, Natl Lab Pattern Recognition
主编:
Liu, CL Zhang, CS Wang, L
出版地:
HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者:
SPRINGER-VERLAG BERLIN
ISBN:
978-3-642-33505-1
机构署名:
本校为第一且通讯机构
院系归属:
电气工程学院
摘要:
Image restorations with sparse representation theory have drawn considerable interest in recent years. In this paper, considering the inter-pixel relationship among the R, G and B planes, we extend the joint sparse model to restore the color images. The objective is to achieve the colors of the restored images more natural than that of the reconstructing results with the method by restoring different color planes individually. In experimental section, the extended joint sparse model is applied to restore the corrupted color images by additive G...

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