Original paper
Different Input Resolutions and Arbitrary Output Resolution: A Meta Learning-Based Deep Framework for Infrared and Visible Image Fusion
Abstract
Infrared and visible image fusion has gained ever-increasing attention in recent years due to its great significance in a variety of vision-based applications. However, existing fusion methods suffer from some limitations in terms of the spatial resolutions of both input source images and output fused image, which prevents their practical usage to a great extent. In this paper, we propose a meta learning-based deep framework for the fusion of...
Paper Details
Title
Different Input Resolutions and Arbitrary Output Resolution: A Meta Learning-Based Deep Framework for Infrared and Visible Image Fusion
Published Date
Jan 1, 2021
Volume
30
Pages
4070 - 4083