Haar Wavelets, Gradients and Approximate TV Regularization
Tomas Sauer, A. Michael Stock · arXiv (Cornell University) · 2022
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.