Compressive Sensing for Polyharmonic Subdivision Wavelets With Applications to Image Analysis

Details Compressive Sensing for Polyharmonic Subdivision Wavelets With Applications to Image Analysis Compressive Sensing for Polyharmonic Subdivision Wavelets With Applications to Image Analysis

2012-04-18

arxiv.org/abs/1204.3996v1

Mathematics

Numerical Analysis

11 pages, 10 figures

Scientific paper

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.

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