Code for image compression with sparse vector fields regularisation accompanying the paper "Regularization with sparse vector fields: from image compression to TV-type reconstruction." International Conference on Scale Space and Variational Methods in Computer Vision. Springer, Cham, 2015.
Eva-Maria Brinkmann
Applied Mathematics: Institute for Analysis and Numerics, Westfälische Wilhelms-Universität Münster, Germany
[email protected]
Martin Burger
Department Mathematik, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany
[email protected]
Joana Sarah Grah
Institute for Computer Graphics and Vision, Graz University of Technology, Austria
[email protected]
You can either run the live script SVF_live.mlx or the script SVF.m in order to execute the code for image compression.
The Trui test image is read from the file Trui.mat. The default parameter values are chosen such that the result in Figure 2 in the paper is reproduced.