Kernel Estimation Using Total Variation Guided GAN for Image Super-Resolution

Kernel Estimation Using Total Variation Guided GAN for Image Super-Resolution

Various super-resolution (SR) kernels in the degradation model deteriorate the performance of the SR algorithms, showing unpleasant artifacts in the output images. Hence, SR kernel estimation has been studied to improve the SR performance in several ways for more than a decade. In particular, a conv...

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Bibliographic Details
Main Authors: Jongeun Park, Hansol Kim, Moon Gi Kang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
kernel estimation
generative adversarial networks
super-resolution
self-similarity
total variation
KernelGAN
Online Access:https://www.mdpi.com/1424-8220/23/7/3734

Internet

https://www.mdpi.com/1424-8220/23/7/3734

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