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BEMD image fusion based on PCNN and compressed sensing

文献类型：期刊论文

作者Ding, Shifei1,2; Du, Peng1; Zhao, Xingyu1; Zhu, Qiangbo1; Xue, Yu3
刊名SOFT COMPUTING
出版日期2019-10-01
卷号23期号:20页码:10045-10054
关键词PCNN Compressed sensing BEMD Image entropy Image fusion
ISSN号1432-7643
DOI10.1007/s00500-018-3560-8
英文摘要Bidimensional empirical mode decomposition (BEMD) is a new method for multi-scale image decomposition. In order to forbid useless information to cause an adverse impact on results and make the process have a better self-adaptability, this paper presents a new multi-scale image fusion method, which combines pulse coupled neural network (PCNN) and compressed sensing, and uses them in the BEMD. At first, BEMD processes the original images decomposed into multiple bidimensional intrinsic mode function (BIMFs) and a residual image. Then after doing compression measurement on each layer of BIMFS, we can get compression measurement coefficients. The coefficients at the same layer do the PCNN image fusion, and we can get measurement sampling BIMFs. And then after measurement sampling BIMFs reconstructed, we can get the final BIMFs. The residual images do the fusion based on entropy weight to get the final residual image. At last, after BEMD inverse transform, the final BIMFs and the final residual image get the result image. Experimental studies have shown that compared with other multi-scale decompositions-based image fusion algorithms, the algorithm in this paper has a better performance in terms of objective criteria and visual appearance.
资助项目National Natural Science Foundations of China[61672522] ; National Natural Science Foundations of China[61379101] ; National Key Basic Research Program of China[2013CB329502]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000487038100019
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/4658]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Ding, Shifei
作者单位1.China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Jiangsu, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100090, Peoples R China
3.Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714		 Ding, Shifei,Du, Peng,Zhao, Xingyu,et al. BEMD image fusion based on PCNN and compressed sensing[J]. SOFT COMPUTING,2019,23(20):10045-10054.
APA Ding, Shifei,Du, Peng,Zhao, Xingyu,Zhu, Qiangbo,&Xue, Yu.(2019).BEMD image fusion based on PCNN and compressed sensing.SOFT COMPUTING,23(20),10045-10054.
MLA Ding, Shifei,et al."BEMD image fusion based on PCNN and compressed sensing".SOFT COMPUTING 23.20(2019):10045-10054.

入库方式： OAI收割

来源：计算技术研究所

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