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mvirt's Introduction

Manifold-valued Image Restoration Toolbox


โ„น๏ธ

This package is no longer maintained ๐Ÿ’ค. If you want to do optimisation on manifolds, depending on the programming language you use, please consider Manopt.jl, which is the successor of this project written in Julia, Manopt in Matlab or pymanopt in Python.


A subset of the Camino Toolkit Human Head DT-MRI data set using the viridis colormap.

maintained by Ronny Bergmann

written by Ronny Bergmann Johannes Persch

In many application measured data appears nonlinear, i.e. restricted in a certain range or equipped with a different distance measure.

This toolbox provides an easy access to image processing tasks for such data, where the values of each measurement are points on a manifold. You can get started by downloading the source code from Github or by cloning the git-repository using

    git clone [email protected]:kellertuer/MVIRT.git

Examples are InSAR imaging or when working with phase data, i.e. on the circle ๐•Šยน or Diffusion Tensor Imaging (DTI), where every data items are an n โจ‰ n symmetric positive definite matrices, ๐’ซ(n).

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