Image fusion method based on simultaneous sparse representation with non‐subsampled contourlet transform-Reference-Cited by-同舟云学术

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Image fusion method based on simultaneous sparse representation with non‐subsampled contourlet transform

Published:2019-01-30 Issue:2 Volume:13 Page:240-248
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

He Guiqing¹,Xing Siyuan¹,He Xingjian¹,Wang Jun²,Fan Jianping³

Affiliation:

1. School of Electronics and InformationNorthwestern Polytechnical UniversityShaanxiPeople's Republic of China

2. School of Information TechnologyNorthwestern UniversityShaanxiPeople's Republic of China

3. Department of Computer ScienceUniversity of North Carolina at CharlotteCharlotteNC28223USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.5496

Reference27 articles.

1. Panchromatic and Multispectral Image Fusion Based on Maximization of Both Spectral and Spatial Similarities

2. Pixel-level image fusion: A survey of the state of the art

3. Multifocus Image Fusion and Restoration With Sparse Representation

4. Pixel-level image fusion with simultaneous orthogonal matching pursuit

5. Guang Y. Xingzhong X. Hong M.: ‘Optimum image fusion via sparse representation’.Wireless and Optical Communications Conf. 2011 pp.1–4

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