An infrared and visible image fusion method based on improved DenseNet and mRMR-ZCA-Reference-Cited by-同舟云学术

An infrared and visible image fusion method based on improved DenseNet and mRMR-ZCA

Published:2021-06 Issue: Volume:115 Page:103707
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Ren Kan,Zhang Dawei,Wan Minjie,Miao Xin,Gu Guohua,Chen Qian

Funder

Jiangsu Province Natural Science Foundation

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Jiangsu Postdoctoral Research Foundation

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference35 articles.

1. A general framework for multiresolution image fusion: from pixels to regions;Piella;Inf. Fusion,2003

2. Fusion method for infrared and visible images by using non-negative sparse representation;Wang;Infrared Phys. Technol.,2014

3. L.J. Chipman, T.M. Orr, L.N. Graham, Wavelets and image fusion, Proceedings of the International Conference on Image Processing, 1995, pp. 248–251.

4. Airborne infrared and visible image fusion for target perception based on target region segmentation and discrete wavelet transform;Niu;Math. Probl. Eng.,2012

5. Infrared and visible images fusion method based on discrete wavelet transform;Zhan;J. Compute.,2017

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