Speckle-noise reduction via "rotated elliptical-thresholding" in an homomorphic complex-wavelet domain

Edmund Hui On Ng; Kainam Thomas Wong; Jerry Chi Ling Lam

doi:10.1109/ICIP.2005.1530459

Speckle-noise reduction via "rotated elliptical-thresholding" in an homomorphic complex-wavelet domain

Edmund Hui On Ng
, Kainam Thomas Wong
, Jerry Chi Ling Lam

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 Citations (Scopus)

Abstract

Speckle noise has been found to rotate an image's homomorphic elliptically distributed complex-wavelet coefficients. This work proposes a counter-rotation of these complex-wavelet co-efficients as a means of mitigating speckle noise using principle component analysis. Simulations suggest that the proposed de-noising technique offers superior visual quality, though its signal-to-mean-square-error ratio (S/MSE) is numerically comparable to the improvement obtained in customary median filtering and adaptive Wiener filtering.

Original language	English
Title of host publication	IEEE International Conference on Image Processing 2005, ICIP 2005
Pages	585-588
Number of pages	4
Volume	3
DOIs	https://doi.org/10.1109/ICIP.2005.1530459
Publication status	Published - 1 Dec 2005
Externally published	Yes
Event	IEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy Duration: 11 Sept 2005 → 14 Sept 2005

Conference

Conference	IEEE International Conference on Image Processing 2005, ICIP 2005
Country/Territory	Italy
City	Genova
Period	11/09/05 → 14/09/05

ASJC Scopus subject areas

General Engineering

More information

10.1109/ICIP.2005.1530459

Cite this

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title = "Speckle-noise reduction via {"}rotated elliptical-thresholding{"} in an homomorphic complex-wavelet domain",

abstract = "Speckle noise has been found to rotate an image's homomorphic elliptically distributed complex-wavelet coefficients. This work proposes a counter-rotation of these complex-wavelet co-efficients as a means of mitigating speckle noise using principle component analysis. Simulations suggest that the proposed de-noising technique offers superior visual quality, though its signal-to-mean-square-error ratio (S/MSE) is numerically comparable to the improvement obtained in customary median filtering and adaptive Wiener filtering.",

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Ng, EHO, Wong, KT & Lam, JCL 2005, Speckle-noise reduction via "rotated elliptical-thresholding" in an homomorphic complex-wavelet domain. in IEEE International Conference on Image Processing 2005, ICIP 2005. vol. 3, 1530459, pp. 585-588, IEEE International Conference on Image Processing 2005, ICIP 2005, Genova, Italy, 11/09/05. https://doi.org/10.1109/ICIP.2005.1530459

Speckle-noise reduction via "rotated elliptical-thresholding" in an homomorphic complex-wavelet domain. / Ng, Edmund Hui On; Wong, Kainam Thomas; Lam, Jerry Chi Ling.
IEEE International Conference on Image Processing 2005, ICIP 2005. Vol. 3 2005. p. 585-588 1530459.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Wong, Kainam Thomas

AU - Lam, Jerry Chi Ling

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Y1 - 2005/12/1

N2 - Speckle noise has been found to rotate an image's homomorphic elliptically distributed complex-wavelet coefficients. This work proposes a counter-rotation of these complex-wavelet co-efficients as a means of mitigating speckle noise using principle component analysis. Simulations suggest that the proposed de-noising technique offers superior visual quality, though its signal-to-mean-square-error ratio (S/MSE) is numerically comparable to the improvement obtained in customary median filtering and adaptive Wiener filtering.

AB - Speckle noise has been found to rotate an image's homomorphic elliptically distributed complex-wavelet coefficients. This work proposes a counter-rotation of these complex-wavelet co-efficients as a means of mitigating speckle noise using principle component analysis. Simulations suggest that the proposed de-noising technique offers superior visual quality, though its signal-to-mean-square-error ratio (S/MSE) is numerically comparable to the improvement obtained in customary median filtering and adaptive Wiener filtering.

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U2 - 10.1109/ICIP.2005.1530459

DO - 10.1109/ICIP.2005.1530459

M3 - Conference article published in proceeding or book

SN - 0780391349

SN - 9780780391345

VL - 3

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EP - 588

BT - IEEE International Conference on Image Processing 2005, ICIP 2005

T2 - IEEE International Conference on Image Processing 2005, ICIP 2005

Y2 - 11 September 2005 through 14 September 2005

ER -

Speckle-noise reduction via "rotated elliptical-thresholding" in an homomorphic complex-wavelet domain

Abstract

Conference

ASJC Scopus subject areas

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