A Novel Infrared and Visible Image Fusion Approach Based on Adversarial Neural Network

A Novel Infrared and Visible Image Fusion Approach Based on Adversarial Neural Network

The presence of fake pictures affects the reliability of visible face images under specific circumstances. This paper presents a novel adversarial neural network designed named as the FTSGAN for infrared and visible image fusion and we utilize FTSGAN model to fuse the face image features of infrared...

Full description

Bibliographic Details
Main Authors: Xianglong Chen, Haipeng Wang, Yaohui Liang, Ying Meng, Shifeng Wang
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
image fusion
adversarial neural network
face recognition
infrared images
visible images
Online Access:https://www.mdpi.com/1424-8220/22/1/304

Internet

https://www.mdpi.com/1424-8220/22/1/304

Similar Items