Single Image Super-Resolution Reconstruction Method for Generative Adversarial Network

Single Image Super-Resolution Reconstruction Method for Generative Adversarial Network

The super-resolution reconstruction method based on deep convolutional neural network has a high peak signal-to-noise ratio (PSNR), but the reconstruction results have the problem of lack of high-frequency information and texture details and poor visual perception under large-scale factors. Aiming a...

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Bibliographic Details
Main Author: PENG Yanfei, GAO Yi, DU Tingting, SANG Yu, ZI Lingling
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-09-01
Series:Jisuanji kexue yu tansuo
Subjects:
super-resolution reconstruction
generative adversarial network (gan)
deep learning
convolutional neural network (cnn)
loss function
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2366.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2366.shtml

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