Modified OMP based sparse representation for multi-sensor images fusion

被引：0

作者：

Huang, Fuyu ^{[1
]}

Zou, Changfan ^{[2
]}

Li, Gang ^{[1
]}

Wang, Yuanbo ^{[1
]}

Zhang, Shuai ^{[1
]}

机构：

[1] Army Engn Univ PLA, Shijiazhuang Campus, Shijiazhuang 050003, Hebei, Peoples R China

[2] Mil Agcy Yangzhou Reg, Yangzhou 225009, Jiangsu, Peoples R China

来源：

SIXTH SYMPOSIUM ON NOVEL OPTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATIONS | 2020年 / 11455卷

基金：

中国国家自然科学基金;

关键词：

Multi-sensor image; Image fusion; Nonsubsampled contourlet transform; Sparse representation; Modified OMP;

D O I：

10.1117/12.2565338

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this paper, a novel fusion method is proposed combining the sparse representation and nonsubsampled contourlet transform (NSCT). The fusion framework consists of two parts: low-frequency components fusion and high-frequency sub-bands fusion. Firstly, the original images are divided into low-frequency component and high-frequency components using the NSCT transformation. Secondly, a modified OMP is proposed for the sparse representation of low-frequency images and the weight fusion rule is designed for sparse coefficients fusion. Then, the high-frequency sub-bands images are fused using the Max-L1 way. Finally, the fusion image can be obtained by inverse NSCT transformation of two images from different fusion parts.

引用

页数：8

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