Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity
Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity
Polyharmonic Daubechies type wavelets in image processing and astronomy, I
Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
Polyharmonic Daubechies type wavelets in image processing and astronomy, II
Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
Quantization opportunities for polyharmonic subdivision wavelets applied to astronomical images
Proceedings of the 12th International Conference on Computer Systems and Technologies
Decoding by linear programming
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Hi-index | 0.00 |
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.