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A comprehensive review of deep learning-based single image super-resolution

Image super-resolution (SR) is one of the vital image processing methods that improve the resolution of an image in the field of computer vision. In the last two decades, significant progress has been made in the field of super-resolution, especially by utilizing deep learning methods. This survey i...

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Principais autores: Syed Muhammad Arsalan Bashir, Yi Wang, Mahrukh Khan, Yilong Niu
Format: Artigo
Sprog:Inglês
Udgivet: PeerJ Inc. 2021-07-01
Serier:PeerJ Computer Science
Fag:
Super-resolution
Image super-resolution
Deep learning
Single-image super-resolution (SISR)
Convolutional neural networks (CNN)
Generative adversarial networks (GAN)
Online adgang:https://peerj.com/articles/cs-621.pdf
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