10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61871210, 62071213 and 61901209)
10.13039/501100009020-Chuanshan Talent Project of the University of South China (USC) through the Construct Program of Key Disciplines in USC (Grant Number: GrantNHXK04)
Scientific Research Fund of Hengyang Science and Technology Bureau (Grant Number: 2015KG51)
机构署名：
本校为第一机构
院系归属：
电气工程学院
摘要：
The aim of infrared and visible image fusion is to generate a composite image that contains the thermal radiation information in the infrared image and optical spectral information in visible image. In this paper, we proposed an end-to-end deep infrared and visible image fusion network which has the capability of information retention and feature transmission. In our proposed network, residual dense blocks (RDB) are introduced to ensure complete deep features extraction of source images. We also design intermediate feature transmission blocks to avoid information loss caused by convolution. In...
