Guaishou74851/CASNet
(TIP 2022) Content-Aware Scalable Deep Compressed Sensing [PyTorch]
This project helps image processing engineers and researchers more efficiently reconstruct high-quality images from highly compressed data. It takes in compressed image data and outputs a reconstructed image with significantly reduced artifacts, even at very high compression ratios. This is ideal for those working with scenarios where image data storage or transmission bandwidth is severely limited, like in satellite imaging or medical diagnostics.
No commits in the last 6 months.
Use this if you need to reconstruct high-quality images from very low-bandwidth or highly compressed visual data, aiming for better clarity and detail than traditional methods.
Not ideal if your primary goal is general image compression without a strong focus on extreme data reduction followed by high-fidelity reconstruction.
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45
Forks
8
Language
Python
License
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Category
Last pushed
Mar 09, 2025
Commits (30d)
0
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