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Compressive sensing multi-focus image fusion

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成果类型:
会议论文
作者:
Cheng, Fang*;Yang, Bin;Huang, Zhiwei
通讯作者:
Cheng, Fang
作者机构:
[Huang, Zhiwei; Yang, Bin; Cheng, Fang] Univ South China, Coll Elect Engn, Hengyang 421001, Peoples R China.
通讯机构:
[Cheng, Fang] U
Univ South China, Coll Elect Engn, Hengyang 421001, Peoples R China.
语种:
英文
关键词:
image fusion;compressive sensing;compressive imaging;focus measure
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2014
卷:
484
页码:
107-116
会议名称:
Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)
会议论文集名称:
Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)论文集
会议时间:
2014-11-01
会议地点:
长沙
会议主办单位:
[Cheng, Fang;Yang, Bin;Huang, Zhiwei] Univ South China, Coll Elect Engn, Hengyang 421001, Peoples R China.
会议赞助商:
湖南大学
主编:
Li, S Liu, C Wang, Y
出版地:
HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者:
SPRINGER-VERLAG BERLIN
ISBN:
978-3-662-45643-9; 978-3-662-45642-2
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:
Based on the compressive sensing theory (CS), various compressive imaging (CI) systems have been developed. Meanwhile, image fusion methods that directly perform on the measurements from multiple CI sensors are also investigated in literatures. In this paper, we presented a multi-focus image fusion method in compressive sensing domain. The main contribution is to introduce a novel clarity level of the random CI measurements without prior geometric information. The CI measurements are sparsely represented with DCT bases which are also projected ...

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