Skip to content

This code reproduces all experiments from the book chapter "Multi-Modality Imaging with Structural Priors" in "Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging".

License

Notifications You must be signed in to change notification settings

mehrhardt/Multi-Modality-Imaging-with-Structure-Promoting-Regularizers

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Multi-modality imaging with structure-promoting regularisers

This code reproduces all experiments from the book chapter "Multi-Modality Imaging with Structure-Promoting Regularizers" [1]. See below for two examples of multi-modality imaging.

Getting started

The code has been tested using Python 3.6 and a number of packages. The version numbers of the most important ones to generate our results are:

The code for the two example problems are

To execute all code, run

For one of the motivation figures also the "spectral" package is needed.

References

[1] Ehrhardt, M. J. (2021). Multi-Modality Imaging with Structure-Promoting Regularizers. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging arXiv preprint

About

This code reproduces all experiments from the book chapter "Multi-Modality Imaging with Structural Priors" in "Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging".

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages