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CDF 9/7 Wavelets as Sparsifying Operator in Compressive Holography. / Yan, Hao; Blinder, David; Bettens, Stijn; Ottevaere, Heidi; Munteanu, Adrian; Schelkens, Peter.

IEEE International Conference on Image Processing 2015. IEEE, 2015. p. 2015-2019.

Research output: Chapter in Book/Report/Conference proceedingConference paper

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Yan, H, Blinder, D, Bettens, S, Ottevaere, H, Munteanu, A & Schelkens, P 2015, CDF 9/7 Wavelets as Sparsifying Operator in Compressive Holography. in IEEE International Conference on Image Processing 2015. IEEE, pp. 2015-2019, IEEE International Conference on Image Processing (ICIP 2015), Québec, Canada, 27/09/15. https://doi.org/10.1109/ICIP.2015.7351154

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BibTeX

@inproceedings{5d7c5ac57f734f19bf0e40908a24aeb5,
title = "CDF 9/7 Wavelets as Sparsifying Operator in Compressive Holography",
abstract = "Compressive sensing is a mathematical framework, whichseeks to capture the information of an object using as fewmeasurements as possible. Recently, it has been applied toholography, where the most frequently used reconstructionmethod is l1-norm minimization with the Haar wavelet asthe sparsifying operator. In this work, we promote the CDF9/7 wavelet as the sparsifying operator. We demonstrate thatthe CDF 9/7 wavelet performs better than the Haar wavelet.",
keywords = "FRESNEL HOLOGRAPHY, OBJECTS",
author = "Hao Yan and David Blinder and Stijn Bettens and Heidi Ottevaere and Adrian Munteanu and Peter Schelkens",
year = "2015",
month = "8",
day = "26",
doi = "10.1109/ICIP.2015.7351154",
language = "English",
isbn = "978-1-4799-8338-4",
pages = "2015--2019",
booktitle = "IEEE International Conference on Image Processing 2015",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - CDF 9/7 Wavelets as Sparsifying Operator in Compressive Holography

AU - Yan, Hao

AU - Blinder, David

AU - Bettens, Stijn

AU - Ottevaere, Heidi

AU - Munteanu, Adrian

AU - Schelkens, Peter

PY - 2015/8/26

Y1 - 2015/8/26

N2 - Compressive sensing is a mathematical framework, whichseeks to capture the information of an object using as fewmeasurements as possible. Recently, it has been applied toholography, where the most frequently used reconstructionmethod is l1-norm minimization with the Haar wavelet asthe sparsifying operator. In this work, we promote the CDF9/7 wavelet as the sparsifying operator. We demonstrate thatthe CDF 9/7 wavelet performs better than the Haar wavelet.

AB - Compressive sensing is a mathematical framework, whichseeks to capture the information of an object using as fewmeasurements as possible. Recently, it has been applied toholography, where the most frequently used reconstructionmethod is l1-norm minimization with the Haar wavelet asthe sparsifying operator. In this work, we promote the CDF9/7 wavelet as the sparsifying operator. We demonstrate thatthe CDF 9/7 wavelet performs better than the Haar wavelet.

KW - FRESNEL HOLOGRAPHY

KW - OBJECTS

U2 - 10.1109/ICIP.2015.7351154

DO - 10.1109/ICIP.2015.7351154

M3 - Conference paper

SN - 978-1-4799-8338-4

SP - 2015

EP - 2019

BT - IEEE International Conference on Image Processing 2015

PB - IEEE

ER -

ID: 11270144