  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.
