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| author | Tomas Kulhanek <tomas.kulhanek@stfc.ac.uk> | 2019-01-23 10:24:48 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2019-01-23 10:24:48 +0000 |
| commit | 06771c554d4c1ecd1e4a38a600e530222b86b28d (patch) | |
| tree | 80d0350f66cc2579721d4939bf1ccf9fb339fd15 | |
| parent | b9b1254ea345330326db3883aafd8a8a66c6c67a (diff) | |
| download | regularization-06771c554d4c1ecd1e4a38a600e530222b86b28d.tar.gz regularization-06771c554d4c1ecd1e4a38a600e530222b86b28d.tar.bz2 regularization-06771c554d4c1ecd1e4a38a600e530222b86b28d.tar.xz regularization-06771c554d4c1ecd1e4a38a600e530222b86b28d.zip | |
Update Readme.md
| -rw-r--r-- | Readme.md | 5 |
1 files changed, 3 insertions, 2 deletions
@@ -1,5 +1,6 @@ -Master: [](https://anvil.softeng-support.ac.uk/jenkins/job/CILsingle/job/CCPi-Regularisation-Toolkit/) -Development status (PR, non-master branch): [](https://anvil.softeng-support.ac.uk/jenkins/job/CILsingle/job/CCPi-Regularisation-Toolkit-dev/) +| Master | Development | +|--------|-------------| +| [](https://anvil.softeng-support.ac.uk/jenkins/job/CILsingle/job/CCPi-Regularisation-Toolkit/) | [](https://anvil.softeng-support.ac.uk/jenkins/job/CILsingle/job/CCPi-Regularisation-Toolkit-dev/) | # CCPi-Regularisation Toolkit (CCPi-RGL) **Iterative image reconstruction (IIR) methods normally require regularisation to stabilise the convergence and make the reconstruction problem (inverse problem) more well-posed. The CCPi-RGL software provides 2D/3D and multi-channel regularisation strategies to ensure better performance of IIR methods. The regularisation modules are well-suited to use with [splitting algorithms](https://en.wikipedia.org/wiki/Augmented_Lagrangian_method#Alternating_direction_method_of_multipliers), such as, [ADMM](https://github.com/dkazanc/ADMM-tomo) and [FISTA](https://github.com/dkazanc/FISTA-tomo). Furthermore, the toolkit can be used for simpler inversion tasks, such as, image denoising, inpaiting, deconvolution etc. The core modules are written in C-OMP and CUDA languages and wrappers for Matlab and Python are provided.** |