EMA‐GAN: A Generative Adversarial Network for Infrared and Visible Image Fusion with Multiscale Attention Network and Expectation Maximization Algorithm

EMA‐GAN: A Generative Adversarial Network for Infrared and Visible Image Fusion with Multiscale Attention Network and Expectation Maximization Algorithm

The purpose of the infrared and visible image fusion is to generate a fused image with rich information. Although most fusion methods can achieve good performance, there are still shortcomings in extracting feature information from source images, which make it difficult to balance the thermal radiat...

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Bibliographic Details
Main Authors: Xiuliang Xi, Xin Jin, Qian Jiang, Yu Lin, Wei Zhou, Lei Guo
Format: Article
Language:English
Published: Wiley 2023-11-01
Series:Advanced Intelligent Systems
Subjects:
attention mechanism
expectation-maximization algorithm
generative adversarial networks
image fusion
infrared and visible image fusion
Online Access:https://doi.org/10.1002/aisy.202300310

Internet

https://doi.org/10.1002/aisy.202300310

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