Guaishou74851/PCNet
(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch]
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.
Stars
114
Forks
8
Language
Python
License
—
Category
Last pushed
Mar 09, 2025
Commits (30d)
0
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