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Reseach Article

A New Nonlinear Anisotropic Wiener Method for Speckle Noise Reduction in Optical Coherence Tomography

by Ahmed H. Samak
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 12
Year of Publication: 2013
Authors: Ahmed H. Samak
10.5120/10975-6116

Ahmed H. Samak . A New Nonlinear Anisotropic Wiener Method for Speckle Noise Reduction in Optical Coherence Tomography. International Journal of Computer Applications. 65, 12 ( March 2013), 10-15. DOI=10.5120/10975-6116

@article{ 10.5120/10975-6116,
author = { Ahmed H. Samak },
title = { A New Nonlinear Anisotropic Wiener Method for Speckle Noise Reduction in Optical Coherence Tomography },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 12 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 10-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number12/10975-6116/ },
doi = { 10.5120/10975-6116 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:21:03.711877+05:30
%A Ahmed H. Samak
%T A New Nonlinear Anisotropic Wiener Method for Speckle Noise Reduction in Optical Coherence Tomography
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 12
%P 10-15
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Removing noise from the original medical image is still a challenging research in image processing. This paper presents a new method for speckle noise reduction in Optical coherence Tomography (OCT). Stationary wavelet transform (SWT) is employed to provide effective representation of the noisy coefficients. Nonlinear Anisotropic filtering of the Details coefficients improves the denoising efficiency and effectively preserves the edge features while wiener filter improves to denoising approximate coefficients. The performance of the proposed method is compared with Nonlinear Anisotropic filter, Wiener filter, Lee filter and Frost filter and analyzed based on the peak signal-to-noise ratio (PSNR).

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Index Terms

Computer Science
Information Sciences

Keywords

image denoising wavelet transform Optical coherence Tomography Nonlinear Anisotropic filter