Documents

DOI

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.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing 2015
PublisherIEEE
Pages2015-2019
Number of pages5
ISBN (Print)978-1-4799-8338-4
DOIs
Publication statusPublished - 26 Aug 2015
EventIEEE International Conference on Image Processing (ICIP 2015) - Québec, Canada
Duration: 27 Sep 201530 Sep 2015

Conference

ConferenceIEEE International Conference on Image Processing (ICIP 2015)
CountryCanada
CityQuébec
Period27/09/1530/09/15

    Research areas

  • FRESNEL HOLOGRAPHY, OBJECTS

ID: 11270144