Key Technologies of Image Fusion Based on Deep Learning: A Survey

Authors

  • Lijuan Feng Zhengzhou University of Science and Technology
  • Jiangjiang Li Zhengzhou University of Science and Technology

Keywords:

Image fusion, Deep learning, Deep neural networks

Abstract

Image fusion is an important branch of image processing. Because of the remarkable advantages of neural network in image feature extraction and classification, the application of neural network technology in the field of image fusion is also a research hotspot in recent years. Firstly, the infrared and visible light image fusion algorithms based on shallow and deep neural networks are summarized, and the research progress of image fusion technology is introduced in detail, and the research results of fusion algorithms are presented. Finally, the challenges faced by image fusion are discussed, and the future development direction of this field is forecasted.

Downloads

Published

2024-09-20

How to Cite

Feng, L., & Li, J. (2024). Key Technologies of Image Fusion Based on Deep Learning: A Survey. IJLAI Transactions on Science and Engineering, 2(3), 81–90. Retrieved from http://ijlaitse.com/index.php/site/article/view/47