Single Image Super Resolution Using Deep Residual Learning

Single Image Super Resolution Using Deep Residual Learning

Single Image Super Resolution (SSIR) is an intriguing research topic in computer vision where the goal is to create high-resolution images from low-resolution ones using innovative techniques. SSIR has numerous applications in fields such as medical/satellite imaging, remote target identification an...

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Bibliographic Details
Main Authors: Moiz Hassan, Kandasamy Illanko, Xavier N. Fernando
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:AI
Subjects:
single image super-resolution
deep learning
autoencoders
convolutional neural networks
convolution
transpose convolution
Online Access:https://www.mdpi.com/2673-2688/5/1/21

Internet

https://www.mdpi.com/2673-2688/5/1/21

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