Automated ADMM-TGV denoising/deconvolu​tion for images

(3D) Total generalized variation for Gaussian/Poisson denoising/deconvolution of images with ADMM algorithm and automated parameter choice

More information about the algorithms is found at:

https://doi.org/10.1007/s11075-024-01759-2

For further information about the 3D algorithms, visit:

https://doi.org/10.1016/j.ultramic.2025.114159

Please cite one of those papers, if you use the algorithm.

Kindly note that the authors disclaim any liability for damages or consequences arising from the use of the provided scripts.

Users are responsible for ensuring the proper functioning and application of the code.

The 'test' files provide easy examples for the use of the algorithms.

The '_Plus_' algorithms inherit a positivity constraint.

The '_3D_' algorithms are for 3D data, such as e.g. video files or confocal microscopy data.