https://github.com/animesh-chourey/srcnn-pytorch
Critical Analysis and Implementation of SRCNN (part of Deep Learning and Computer Vision module)
https://github.com/animesh-chourey/srcnn-pytorch
image-enhancement psnr pytorch srcnn
Last synced: 3 months ago
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Critical Analysis and Implementation of SRCNN (part of Deep Learning and Computer Vision module)
- Host: GitHub
- URL: https://github.com/animesh-chourey/srcnn-pytorch
- Owner: Animesh-Chourey
- Created: 2022-09-01T15:20:53.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2022-09-01T15:21:53.000Z (over 2 years ago)
- Last Synced: 2025-01-11T19:45:25.457Z (4 months ago)
- Topics: image-enhancement, psnr, pytorch, srcnn
- Language: Python
- Homepage:
- Size: 471 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Image Super-resolution Using Deep Learning
Image super-resolution with deep convolutional neural network is performed and its performance is evaluated through peak-signal-to-noise-ratio (PSNR). PSNR evaluates image restoration quality and is at least partially related to the perceptual quality.
Critical analysis of the trends in Image Super-Resolution is also done. The original paper can be found here: [SRCNN](https://arxiv.org/pdf/1501.00092.pdf)