Computer ScienceEngineering

Wentong Zhu, Xingsheng Tang, Zhang Rui, C. Xiao, Zhuang Miao

2021JOURNAL OF INFRARED AND MILLIMETER WAVES

DOI: 10.11972/j.issn.1001-9014.2021.05.017

tlooto Summary

Experimental results on multiple datasets demonstrate that the proposed generative adversarial network framework can effectively fuse infrared target and visible texture information , sharpen image edges , and significantly improve image clarity and contrast.

Abstract

Abstract is not available.

Citation format

ZHU, Wentong, et al. Infrared and visible image fusion based on edge-preserving and attention generative adversarial network. JOURNAL OF INFRARED AND MILLIMETER WAVES, 2021, 40: 696.