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

Résultats de recherche: Contribution à une conférence NON PUBLIEE › Papier › Revue par des pairs

Résumé

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.

langue originale	Anglais
Pages	233-236
Nombre de pages	4
état	Publié - 2001
Evénement	IEEE International Conference on Image Processing (ICIP) - Thessaloniki, Grcce Durée: 7 oct. 2001 → 10 oct. 2001

Une conférence

Une conférence	IEEE International Conference on Image Processing (ICIP)
Pays/Territoire	Grcce
La ville	Thessaloniki
période	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",

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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

Résumé

Une conférence

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