4 papers
Multi-Grained Text-Guided Image Fusion for Multi-Exposure and Multi-Focus Scenarios
Mingwei Tang, Jiahao Nie, Guang Yang +2
Image fusion aims to synthesize a single high-quality image from a pair of inputs captured under challenging conditions, such as differing exposure levels or focal depths. A core c…
Infrared and Visible Image Fusion with Hierarchical Human Perception
Guang Yang, Jie Li, Xin Liu +2
Image fusion combines images from multiple domains into one image, containing complementary information from source domains. Existing methods take pixel intensity, texture and high…
A Dual Domain Multi-exposure Image Fusion Network based on the Spatial-Frequency Integration
Guang Yang, Jie Li, Xinbo Gao
Multi-exposure image fusion aims to generate a single high-dynamic image by integrating images with different exposures. Existing deep learning-based multi-exposure image fusion me…
A Multi-scale Information Integration Framework for Infrared and Visible Image Fusion
Guang Yang, Jie Li, Hanxiao Lei +1
Infrared and visible image fusion aims at generating a fused image containing the intensity and detail information of source images, and the key issue is effectively measuring and…