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author | Daniil Kazantsev <dkazanc@hotmail.com> | 2018-04-16 16:13:31 +0100 |
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committer | Daniil Kazantsev <dkazanc@hotmail.com> | 2018-04-16 16:13:31 +0100 |
commit | 66416e35fb6f352b4c9828695c2dfa642ac4c24e (patch) | |
tree | 78ca3ca74d7ef4214a29a8c479f0d861761184c2 | |
parent | 3d17b516f269921f5c8fb4eb54cec49f732e27d5 (diff) | |
download | regularization-66416e35fb6f352b4c9828695c2dfa642ac4c24e.tar.gz regularization-66416e35fb6f352b4c9828695c2dfa642ac4c24e.tar.bz2 regularization-66416e35fb6f352b4c9828695c2dfa642ac4c24e.tar.xz regularization-66416e35fb6f352b4c9828695c2dfa642ac4c24e.zip |
readme updated
-rw-r--r-- | Readme.md | 4 | ||||
-rw-r--r-- | docs/images/probl.pdf | bin | 0 -> 62326 bytes |
2 files changed, 4 insertions, 0 deletions
@@ -4,6 +4,10 @@ CCPi-RGL software consist of 2D/3D regularisation modules for single-channel and multi-channel reconstruction problems. The modules especially suited for IIR, however, can also be used as image denoising iterative filters. The core modules are written in C-OMP and CUDA languages and wrappers for Matlab and Python are provided.** +<div align="center"> + <img src="docs/imgages/probl.pdf" height="300"><br> +</div> + ## Prerequisites: * MATLAB (www.mathworks.com/products/matlab/) OR diff --git a/docs/images/probl.pdf b/docs/images/probl.pdf Binary files differnew file mode 100644 index 0000000..6a06021 --- /dev/null +++ b/docs/images/probl.pdf |