Compressive sensing for polyharmonic subdivision wavelets with applications to image analysis

  • Authors:
  • Ognyan Kounchev;Damyan Kalaglarsky

  • Affiliations:
  • Institute of Mathematics and Informatics, Bulgarian Academy of Science;Institute of Astronomy, Bulgarian Academy of Science

  • Venue:
  • Proceedings of the 13th International Conference on Computer Systems and Technologies
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

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.