CDF 9/7 Wavelets as Sparsifying Operator in Compressive Holography
Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Compressive sensing is a mathematical framework, which
seeks to capture the information of an object using as few
measurements as possible. Recently, it has been applied to
holography, where the most frequently used reconstruction
method is l1-norm minimization with the Haar wavelet as
the sparsifying operator. In this work, we promote the CDF
9/7 wavelet as the sparsifying operator. We demonstrate that
the CDF 9/7 wavelet performs better than the Haar wavelet.
seeks to capture the information of an object using as few
measurements as possible. Recently, it has been applied to
holography, where the most frequently used reconstruction
method is l1-norm minimization with the Haar wavelet as
the sparsifying operator. In this work, we promote the CDF
9/7 wavelet as the sparsifying operator. We demonstrate that
the CDF 9/7 wavelet performs better than the Haar wavelet.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Image Processing 2015 |
| Publisher | IEEE |
| Pages | 2015-2019 |
| Number of pages | 5 |
| ISBN (Print) | 978-1-4799-8338-4 |
| DOIs | |
| Publication status | Published - 26 Aug 2015 |
| Event | IEEE International Conference on Image Processing (ICIP 2015) - Québec, Canada Duration: 27 Sep 2015 → 30 Sep 2015 |
Conference
| Conference | IEEE International Conference on Image Processing (ICIP 2015) |
|---|---|
| Country | Canada |
| City | Québec |
| Period | 27/09/15 → 30/09/15 |
- FRESNEL HOLOGRAPHY, OBJECTS
Research areas
ID: 11270144