Color Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter

The denoising of a natural image corrupted by Gaussian noise is a problem in signal or image processing. Much work has been done in the field of wavelet thresholding but most of it was focused on statistical modeling of wavelet coefficients and the optimal choice of thresholds. This paper describ...

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Autor principal:	Iman M.G. Alwan
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2012
Materias:	Stationary wavelet transform (SWT) Adaptive Wiener filter Thresholding Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/39f181e3ccc94af1bc7c29a866a051a5
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spelling	oai:doaj.org-article:39f181e3ccc94af1bc7c29a866a051a52021-12-02T04:16:23ZColor Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter1818-11712312-0789https://doaj.org/article/39f181e3ccc94af1bc7c29a866a051a52012-02-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/102https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 The denoising of a natural image corrupted by Gaussian noise is a problem in signal or image processing. Much work has been done in the field of wavelet thresholding but most of it was focused on statistical modeling of wavelet coefficients and the optimal choice of thresholds. This paper describes a new method for the suppression of noise in image by fusing the stationary wavelet denoising technique with adaptive wiener filter. The wiener filter is applied to the reconstructed image for the approximation coefficients only, while the thresholding technique is applied to the details coefficients of the transform, then get the final denoised image is obtained by combining the two results. The proposed method was applied by using MATLAB R2010a with color images contaminated by white Gaussian noise. Compared with stationary wavelet and wiener filter algorithms, the experimental results show that the proposed method provides better subjective and objective quality, and obtain up to 3.5 dB PSNR improvement. Iman M.G. AlwanAl-Khwarizmi College of Engineering – University of BaghdadarticleStationary wavelet transform (SWT)Adaptive Wiener filterThresholdingChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 8, Iss 1 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Stationary wavelet transform (SWT) Adaptive Wiener filter Thresholding Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Stationary wavelet transform (SWT) Adaptive Wiener filter Thresholding Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Iman M.G. Alwan Color Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter
description	The denoising of a natural image corrupted by Gaussian noise is a problem in signal or image processing. Much work has been done in the field of wavelet thresholding but most of it was focused on statistical modeling of wavelet coefficients and the optimal choice of thresholds. This paper describes a new method for the suppression of noise in image by fusing the stationary wavelet denoising technique with adaptive wiener filter. The wiener filter is applied to the reconstructed image for the approximation coefficients only, while the thresholding technique is applied to the details coefficients of the transform, then get the final denoised image is obtained by combining the two results. The proposed method was applied by using MATLAB R2010a with color images contaminated by white Gaussian noise. Compared with stationary wavelet and wiener filter algorithms, the experimental results show that the proposed method provides better subjective and objective quality, and obtain up to 3.5 dB PSNR improvement.
format	article
author	Iman M.G. Alwan
author_facet	Iman M.G. Alwan
author_sort	Iman M.G. Alwan
title	Color Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter
title_short	Color Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter
title_full	Color Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter
title_fullStr	Color Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter
title_full_unstemmed	Color Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter
title_sort	color image denoising using stationary wavelet transform and adaptive wiener filter
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2012
url	https://doaj.org/article/39f181e3ccc94af1bc7c29a866a051a5
work_keys_str_mv	AT imanmgalwan colorimagedenoisingusingstationarywavelettransformandadaptivewienerfilter
_version_	1718401361328996352

Color Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter

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