Compressive Sensing for Polyharmonic Subdivision Wavelets With Applications to Image Analysis
Numerical Analysis
2012-04-19 v1
Abstract
We apply successfully the Compressive Sensing approach for Image Analysis using the new family of Polyharmonic Subdivision wavelets. We show that this approach provides a very efficient recovery of the images based on fewer samples than the traditional Shannon-Nyquist paradigm. We provide the results of experiments with PHSD wavelets and Daubechies wavelets, for the Lena image and astronomical images.
Keywords
Cite
@article{arxiv.1204.3996,
title = {Compressive Sensing for Polyharmonic Subdivision Wavelets With Applications to Image Analysis},
author = {Ognyan Kounchev and Damyan Kalaglarsky},
journal= {arXiv preprint arXiv:1204.3996},
year = {2012}
}
Comments
11 pages, 10 figures