DDGANSE: Dual-Discriminator GAN with a Squeeze-and-Excitation Module for Infrared and Visible Image Fusion

• Published in: Photonics Vol. 9; no. 3; p. 150
• Main Authors: Wang, Jingjing, Ren, Jinwen, Li, Hongzhen, Sun, Zengzhao, Luan, Zhenye, Yu, Zishu, Liang, Chunhao, Monfared, Yashar E., Xu, Huaqiang, Hua, Qing
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2022
• Subjects: Computer vision; Deep learning; Discriminators; Excitation; fusion image; Generative adversarial networks; Image contrast; Image processing; infrared image; Infrared imagery; Modules; Neural networks; Performance measurement; squeeze-and-excitation net-works; Teaching methods; Texture; Training; visible image; Visual system

Infrared images can provide clear contrast information to distinguish between the target and the background under any lighting conditions. In contrast, visible images can provide rich texture details and are compatible with the human visual system. The fusion of a visible image and infrared image wi...