BEMD image fusion based on PCNN and compressed sensing

doi:10.1007/s00500-018-3560-8

	BEMD image fusion based on PCNN and compressed sensing
	Ding, Shifei 1,2; Du, Peng 1; Zhao, Xingyu 1; Zhu, Qiangbo 1; Xue, Yu 3
	2019-10-01
发表期刊	SOFT COMPUTING
ISSN	1432-7643
卷号	23 期号:20 页码:10045-10054
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.
关键词	PCNN Compressed sensing BEMD Image entropy Image fusion
DOI	10.1007/s00500-018-3560-8
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000487038100019
出版者	SPRINGER
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4659
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.