DCDR-GAN: A Densely Connected Disentangled Representation Generative Adversarial Network for Infrared and Visible Image Fusion
Author:
Affiliation:
1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China
2. State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/10036154/09893115.pdf?arnumber=9893115
Reference47 articles.
1. Infrared and visible image fusion based on BEMSD and improved fuzzy set
2. Infrared and Visible Image Fusion via Texture Conditional Generative Adversarial Network
3. Fusion of visible and infrared images using global entropy and gradient constrained regularization
4. SPA-GAN: Spatial Attention GAN for Image-to-Image Translation
5. A novel image fusion algorithm based on nonsubsampled shearlet transform
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