This is the first release of the Python/CUDA example implementation package of primal-dual algorithms for variational imaging problems with total variation (TV) and total generalized variation (TGV) regularization.
Highlights
- Reproduces the examples in LNCS 8293:44-77, 2014
- Variational denoising, deblurring, zooming and dequantization
- Tikhonov functional minimization
- Compressive imaging examples
- Example Jupyter notebook with comprehensive documentation