Supporting code for the paper "An efficient interpolation approach for exploring the parameter space of regularized tomography algorithms", which is currently being reviewed. This codes gives an efficient framework for estimating regularization parameters.
- Free software: GNU General Public License v3
- Documentation: [https://mjlagerwerf.github.io/reg_param]
It takes a few steps to setup the regularization parameter estimation software on your machine. We recommend installing Anaconda package manager for Python 3.
Simply install with:
conda install -c mjlagerwerf -c odlgroup -c astra-toolbox reg_param
To install Regularization parameter estimation, simply clone this GitHub project. Go to the cloned directory and run PIP installer:
git clone https://github.com/mjlagerwerf/reg_param.git
cd reg_param
make install_dev
To learn more about the functionality of the package check out our examples folder.
- Rien Lagerwerf - Initial work
See also the list of contributors who participated in this project.
Contributions are always welcome. Please submit pull requests against the master branch.
If you have any issues, questions, or remarks, then please open an issue on GitHub.
This project is licensed under the GNU General Public License v3 - see the LICENSE.md file for details.