GitHub / SaumyaBhandari / Image-SuperResolution-
A Super Sampling model created using the SRCNN method proposed by Chao Dong, Chen Change Loy in 2015. It uses Convolutional Networks to identify features and uses "Depth-To-Feature" technique in the end to generate a high resolution image of a given low resolution input. The model is trained and tested on BSDS500 dataset.
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PURL: pkg:github/SaumyaBhandari/Image-SuperResolution-
Stars: 2
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 9.14 MB
Dependencies parsed at: Pending
Created at: about 3 years ago
Updated at: about 3 years ago
Pushed at: about 3 years ago
Last synced at: over 2 years ago
Topics: artificial-intelligence, cnn-keras, deep-learning, linear-algebra, srcnn, super-resolution