Guaishou74851/PCNet

(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch]

28
/ 100
Experimental

This project helps scientists and engineers reconstruct high-resolution images from very limited sensor data, significantly reducing data acquisition time and cost. It takes a small set of 'compressed' measurements as input and outputs a clear, detailed image. This is ideal for researchers in medical imaging, remote sensing, and security who need to capture visual information efficiently.

114 stars. No commits in the last 6 months.

Use this if you need to recover high-quality images from undersampled data, such as in single-pixel imaging systems or resource-constrained environments.

Not ideal if your primary goal is general image denoising or super-resolution from existing high-resolution images rather than reconstruction from compressed samples.

compressed-sensing image-reconstruction medical-imaging spectral-imaging remote-sensing
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 11 / 25

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Stars

114

Forks

8

Language

Python

License

Last pushed

Mar 09, 2025

Commits (30d)

0

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