Journal of Infrared and Millimeter Waves, Volume. 40, Issue 5, 696(2021)
Infrared and visible image fusion based on edge-preserving and attention generative adversarial network
[2] Liu G X, Yang W H. Image fusion scheme of pixel-level and multi-operator for infrared and visible light images[J]. J. Infrared Millim. Waves, 20, 207-210(2001).
[4] Liu S P, Fang Y. Infrared image fusion algorithm based on contourlet transform and improved pulse coupled neural network[J]. J. Infrared Millim. Waves, 26, 217-221(2007).
[14] Goodfellow I J, Pouget-Abadie J, Mirza M et al. Generative Adversarial Nets[J]. Advances in Neural Information Processing Systems 27 (NIPS2014), 27(2014).
[18] Zagoruyko S, Komodakis. N. Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer[J]. International Conference on Learning Representations(2017).
[19] Nair V, Geoffrey E H. Rectified linear units improve restricted boltzmann machines[J]. Proceedings of the 27th International Conference on Machine Learning, 807-814(2010).
[23] Kingma D P, Ba J. Adam: A Method for Stochastic Optimization[J]. International Conference on Learning Representations(2014).
Get Citation
Copy Citation Text
Wen-Qing ZHU, Xin-Yi TANG, Rui ZHANG, Xiao CHEN, Zhuang MIAO. Infrared and visible image fusion based on edge-preserving and attention generative adversarial network[J]. Journal of Infrared and Millimeter Waves, 2021, 40(5): 696
Category: Research Articles
Received: Oct. 29, 2020
Accepted: --
Published Online: Sep. 29, 2021
The Author Email: Xin-Yi TANG (gq227@mail.sitp.ac.cn)