Despeckling SAR images using wavelets and a new class of adaptive shrinkage estimators

A. Pižurica; W. Philips; I. Lemahieu; M. Acheroy

Despeckling SAR images using wavelets and a new class of adaptive shrinkage estimators

A. Pižurica, W. Philips, I. Lemahieu, M. Acheroy

Communication, Information, Systems and Sensors

University of Ghent

Onderzoeksoutput: ONGEPUBLICEERD bijdrage aan congres › Paper › peer review

Samenvatting

We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR images. It relies on realistic distributions of the wavelet coefficients which represent mainly speckle noise on the one hand and those that represent the useful signal corrupted by speckle on the other. We propose analytic models for these distributions, and compute their parameters automatically from a given SAR image. The resulting algorithm strongly suppresses speckle, while preserving image details and sharpness.

Originele taal-2	Engels
Pagina's	233-236
Aantal pagina's	4
Status	Gepubliceerd - 2001
Evenement	IEEE International Conference on Image Processing (ICIP) - Thessaloniki, Griekenland Duur: 7 okt. 2001 → 10 okt. 2001

Congres

Congres	IEEE International Conference on Image Processing (ICIP)
Land/Regio	Griekenland
Stad	Thessaloniki
Periode	7/10/01 → 10/10/01

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title = "Despeckling SAR images using wavelets and a new class of adaptive shrinkage estimators",

abstract = "We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR images. It relies on realistic distributions of the wavelet coefficients which represent mainly speckle noise on the one hand and those that represent the useful signal corrupted by speckle on the other. We propose analytic models for these distributions, and compute their parameters automatically from a given SAR image. The resulting algorithm strongly suppresses speckle, while preserving image details and sharpness.",

author = "A. Pi{\v z}urica and W. Philips and I. Lemahieu and M. Acheroy",

year = "2001",

language = "English",

pages = "233--236",

note = "IEEE International Conference on Image Processing (ICIP) ; Conference date: 07-10-2001 Through 10-10-2001",

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TY - CONF

T1 - Despeckling SAR images using wavelets and a new class of adaptive shrinkage estimators

AU - Pižurica, A.

AU - Philips, W.

AU - Lemahieu, I.

AU - Acheroy, M.

PY - 2001

Y1 - 2001

N2 - We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR images. It relies on realistic distributions of the wavelet coefficients which represent mainly speckle noise on the one hand and those that represent the useful signal corrupted by speckle on the other. We propose analytic models for these distributions, and compute their parameters automatically from a given SAR image. The resulting algorithm strongly suppresses speckle, while preserving image details and sharpness.

AB - We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR images. It relies on realistic distributions of the wavelet coefficients which represent mainly speckle noise on the one hand and those that represent the useful signal corrupted by speckle on the other. We propose analytic models for these distributions, and compute their parameters automatically from a given SAR image. The resulting algorithm strongly suppresses speckle, while preserving image details and sharpness.

UR - https://www.scopus.com/pages/publications/0035163997

M3 - Paper

AN - SCOPUS:0035163997

SP - 233

EP - 236

T2 - IEEE International Conference on Image Processing (ICIP)

Y2 - 7 October 2001 through 10 October 2001

ER -

Despeckling SAR images using wavelets and a new class of adaptive shrinkage estimators

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Congres

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