https://github.com/biomedical-imaging-group/globalbioim

A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging
https://github.com/biomedical-imaging-group/globalbioim

image-processing image-reconstruction inverse-problems linear-algebra matlab-library

Last synced: 10 days ago
JSON representation

A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging

• Host: GitHub
• URL: https://github.com/biomedical-imaging-group/globalbioim
• Owner: Biomedical-Imaging-Group
• License: gpl-3.0
• Created: 2018-03-07T21:40:32.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-07-17T13:37:59.000Z (4 months ago)
• Last Synced: 2024-07-17T16:37:21.721Z (4 months ago)
• Topics: image-processing, image-reconstruction, inverse-problems, linear-algebra, matlab-library
• Language: MATLAB
• Homepage: https://biomedical-imaging-group.github.io/GlobalBioIm/
• Size: 28 MB
• Stars: 76
• Watchers: 11
• Forks: 36
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# GlobalBioIm 

[![DOI](https://zenodo.org/badge/124297869.svg)](https://zenodo.org/badge/latestdoi/124297869)

This Matlab toolbox provides a set of tools (operators, cost functions, optimization algorithms) for solving inverse problems.

## Getting started 

Download or clone this repository and run the script *setGlobalBioImPath.m* which will update your Matlab path with the library.

## Documentation

A detailled documentation can be found here.

## Generate your script through the GUI

GlobalBioIm is ditributed together with a user-friendly Matlab interface that allows to intuitively build tailored reconstruction algorithms with minimal effort. [Read More](https://biomedical-imaging-group.github.io/GlobalBioIm/gui.html).







## What's changed recently?

See [NEWS](https://github.com/Biomedical-Imaging-Group/GlobalBioIm/blob/release/NEWS.md).

## Reference

[Pocket Guide to Solve Inverse Problems with GlobalBioIm](https://iopscience.iop.org/article/10.1088/1361-6420/ab2ae9)  


Inverse Problems,35-10, pp 104006, 2019. 


E. Soubies, F. Soulez, M. McCann,  T-A. Pham, L. Donati, T. Debarre, D. Sage, and M. Unser.

## Acknowledgements

  

    

      


        

        

        

        

    

  

  

    

      GlobalBioIm acknowledges the support of the European Research Council , the  École Polytechnique Fédérale de Lausanne, in Lausanne, Switzerland, and the CIBM Center for Biomedical Imaging, in Switzerland.