Cross-UNet: dual-branch infrared and visible image fusion framework based on cross-convolution and attention mechanism

• Published in: The Visual computer Vol. 39; no. 10; pp. 4801 - 4818
• Main Authors: Wang, Xuejiao, Hua, Zhen, Li, Jinjiang
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2023; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Computer Graphics; Computer Science; Computer vision; Convolution; Decomposition; Deep learning; Dictionaries; Image Processing and Computer Vision; Infrared imagery; Methods; Neural networks; Original Article; Sensors; Attention mechanism; Cross-convolution; Image fusion

Existing infrared and visible image fusion methods suffer from edge information loss, artifact introduction, and image distortion. Therefore, a dual-branch network model based on the attention mechanism, Cross-UNet, is proposed in this paper for infrared and visible image fusion. First, the encoder...