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Multi-focus image fusion based on sparse feature matrix decomposition and morphological filtering
Li, Hui1; Li, Li1; Zhang, Jixiang2
2015-05-01
发表期刊OPTICS COMMUNICATIONS
卷号342页码:1-11
文章类型Article
摘要Multi-focus image fusion aims to fuse multiple images with different focus points into one single image where all pixels appear in-focus. A novel multi-focus image fusion method is presented based on a sparse feature matrix decomposition and morphological filtering. First, the sparse feature matrices of original multi-focus images are extracted by decomposing the multi-focus images. Second, a temporary matrix is obtained by weighting the sparse matrices containing salient features of original images. Third, the bright and dark regions are extracted by morphologically filtering the temporary matrix. Finally, the final fusion result is formed by importing the extracted features into the base image which is established by weighting the source images. Experimental results indicate that the proposed method not only works well in various multi-focus image fusions, but also outperforms some existing methods in both subjective and objective qualities. (C) 2014 Elsevier B.V. All rights reserved.
关键词Sparse Matrix Decomposition Multi-focus Image Fusion Feature Extraction Morphological Filtering
WOS标题词Science & Technology ; Physical Sciences
关键词[WOS]PRINCIPAL COMPONENT ANALYSIS ; CONTRAST ; WAVELET
收录类别SCI
语种英语
WOS研究方向Optics
WOS类目Optics
WOS记录号WOS:000350833400001
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/10736
专题空天信息研究中心
作者单位1.Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
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Li, Hui,Li, Li,Zhang, Jixiang. Multi-focus image fusion based on sparse feature matrix decomposition and morphological filtering[J]. OPTICS COMMUNICATIONS,2015,342:1-11.
APA Li, Hui,Li, Li,&Zhang, Jixiang.(2015).Multi-focus image fusion based on sparse feature matrix decomposition and morphological filtering.OPTICS COMMUNICATIONS,342,1-11.
MLA Li, Hui,et al."Multi-focus image fusion based on sparse feature matrix decomposition and morphological filtering".OPTICS COMMUNICATIONS 342(2015):1-11.
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