Conditional generative adversarial network with densely-connected residual learning for single image super-resolution

Recently, generative adversarial network (GAN) has been widely employed in single image super-resolution (SISR), achieving favorably good perceptual effects. However, the SR outputs generated by GAN still have some fictitious details, which are quite different from the ground-truth images, resulting...

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Veröffentlicht in:	Multimedia tools and applications 2021, Vol.80 (3), p.4383-4397
Hauptverfasser:	Qiao, Jiaojiao, Song, Huihui, Zhang, Kaihua, Zhang, Xiaolu
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Communication Networks Computer Science Data Structures and Information Theory Generative adversarial networks Image resolution Multimedia Multimedia Information Systems Neural networks Special Purpose and Application-Based Systems Visual perception
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