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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Главные авторы:	Jin Qi, Deboch Eyob Abera, Jian Cheng
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2025-01-01
Серии:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Предметы:	Generative adversarial network (GAN) image contrast image naturalness infrared (IR) and visible (VIS) image fusion (IVF) pseudoground truth fusion image (PGI)
Online-ссылка:	https://ieeexplore.ieee.org/document/10783431/
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