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Publicatie
CDF 9/7 Wavelets as Sparsifying Operator in Compressive Holography
Boekbijdrage - Boekhoofdstuk Conferentiebijdrage
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.
Boek: IEEE International Conference on Image Processing 2015
Pagina's: 2015-2019
Aantal pagina's: 5
ISBN:978-1-4799-8338-4
Jaar van publicatie:2015
Trefwoorden:FRESNEL HOLOGRAPHY, OBJECTS
Toegankelijkheid:Open