DDcGAN: A Dual-discriminator Conditional Generative Adversarial Network for Multi-resolution Image Fusion

In this paper, we proposed a new end-to-end model, termed as dual-discriminator conditional generative adversarial network (DDcGAN), for fusing infrared and visible images of different resolutions. Our method establishes an adversarial game between a generator and two discriminators. The generator a...

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Vydáno v:	IEEE transactions on image processing Ročník 29; s. 1
Hlavní autoři:	Ma, Jiayi, Xu, Han, Jiang, Junjun, Mei, Xiaoguang, Zhang, Xiao-Ping
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Blurring Computer vision different resolutions Discriminators generative adversarial network Generative adversarial networks High resolution Image fusion Image processing Image resolution infrared image Infrared imagery Magnetic resonance imaging medical image Medical imaging Positron emission Texture Thermal radiation Visual effects
ISSN:	1057-7149, 1941-0042, 1941-0042
On-line přístup:	Získat plný text
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