Haar Wavelets, Gradients and Approximate TV Regularization
Numerical Analysis
2024-11-04 v2 Numerical Analysis
Abstract
We show how total variation regularization of images in arbitrary dimensions can be approximately performed by applying appropriate shrinkage to some Haar wavelets coefficients. The approach works directly on the wavelet coefficients and is therefore suited for the application on large volumes from computed tomography.
Keywords
Cite
@article{arxiv.2208.05389,
title = {Haar Wavelets, Gradients and Approximate TV Regularization},
author = {Tomas Sauer and A. Michael Stock},
journal= {arXiv preprint arXiv:2208.05389},
year = {2024}
}
Comments
Revised version