RETRACTED: DAE‐GAN: An autoencoder based adversarial network for Gaussian denoising

Image denoising is one of the most classic problems in computer vision for restoring corrupted images. It has been approached by using various traditional state of the art architectures in convolutional neural network (CNN), which has demonstrated considerably better results than the prior methods....

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Veröffentlicht in:	Expert systems Jg. 42; H. 2
Hauptverfasser:	Samanta, Abhishek, Saha, Aheli, Satapathy, Suresh Chandra, Lin, Hong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.02.2025
Schlagworte:	computer vision convolutional neural networks deep learning generating adversarial networks
ISSN:	0266-4720, 1468-0394
Online-Zugang:	Volltext
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