CDF 9/7 Wavelets as Sparsifying Operator in Compressive Holography

Hao Yan; David Blinder; Stijn Bettens; Heidi Ottevaere; Adrian Munteanu; Peter Schelkens

doi:10.1109/ICIP.2015.7351154

CDF 9/7 Wavelets as Sparsifying Operator in Compressive Holography

Hao Yan, David Blinder, Stijn Bettens, Heidi Ottevaere, Adrian Munteanu, Peter Schelkens

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

2 Citations (Scopus)

233 Downloads (Pure)

Abstract

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 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	https://doi.org/10.1109/ICIP.2015.7351154
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/Territory	Canada
City	Québec
Period	27/09/15 → 30/09/15

Keywords

FRESNEL HOLOGRAPHY
OBJECTS

Access to Document

10.1109/ICIP.2015.7351154

Yan ICIP 20150520 IEEEPDFeXpressAccepted author manuscript, 563 KB

SRP11: Strategic Research Programme: Processing of large scale multi-dimensional, multi-spectral, multi-sensorial and distributed data (M³D²)
Schelkens, P., Deligiannis, N., Jansen, B., Kuijk, M., Munteanu, A., Sahli, H., Steenhaut, K., Stiens, J., Schelkens, P., Cornelis, J. P., Kuijk, M., Munteanu, A., Sahli, H., Stiens, J. & Vounckx, R.
1/11/12 → 31/12/23
Project: Fundamental

Cite this

@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 = aug,

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",

note = "IEEE International Conference on Image Processing (ICIP 2015) ; Conference date: 27-09-2015 Through 30-09-2015",

}

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

T2 - IEEE International Conference on Image Processing (ICIP 2015)

Y2 - 27 September 2015 through 30 September 2015

ER -

CDF 9/7 Wavelets as Sparsifying Operator in Compressive Holography

Abstract

Conference

Keywords

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Projects

SRP11: Strategic Research Programme: Processing of large scale multi-dimensional, multi-spectral, multi-sensorial and distributed data (M³D²)

Cite this