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

Research output: UNPUBLISHED contribution to conference › Paper › peer-review

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.

Original language	English
Pages	233-236
Number of pages	4
Publication status	Published - 2001
Event	IEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece Duration: 7 Oct 2001 → 10 Oct 2001

Conference

Conference	IEEE International Conference on Image Processing (ICIP)
Country/Territory	Greece
City	Thessaloniki
Period	7/10/01 → 10/10/01

Cite this

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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 - http://www.scopus.com/inward/record.url?scp=0035163997&partnerID=8YFLogxK

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

Abstract

Conference

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