PS-GAN: Pseudo Supervised Generative Adversarial Network With Single Scale Retinex Embedding for Infrared and Visible Image Fusion

PS-GAN: Pseudo Supervised Generative Adversarial Network With Single Scale Retinex Embedding for Infrared and Visible Image Fusion

Currently, ground truth fusion image, fused image contrast, and naturalness are rarely considered in existing infrared and visible image fusion (IVF) methods. In this article, we proposed a pseudosupervised generative adversarial network (GAN) with single scale retinex (SSR) embedding for IVF. First...

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Bibliographic Details
Main Authors: Jin Qi, Deboch Eyob Abera, Jian Cheng
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Generative adversarial network (GAN)
image contrast
image naturalness
infrared (IR) and visible (VIS) image fusion (IVF)
pseudoground truth fusion image (PGI)
Online Access:https://ieeexplore.ieee.org/document/10783431/
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https://ieeexplore.ieee.org/document/10783431/

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