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Image Denoising based on MAP Estimation using Dual Tree Complex Wavelet Transform

by M Ramanjaneya Rao, P Ramakrishna
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 4
Year of Publication: 2015
Authors: M Ramanjaneya Rao, P Ramakrishna
10.5120/19306-0755

M Ramanjaneya Rao, P Ramakrishna . Image Denoising based on MAP Estimation using Dual Tree Complex Wavelet Transform. International Journal of Computer Applications. 110, 4 ( January 2015), 19-24. DOI=10.5120/19306-0755

@article{ 10.5120/19306-0755,
author = { M Ramanjaneya Rao, P Ramakrishna },
title = { Image Denoising based on MAP Estimation using Dual Tree Complex Wavelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 4 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number4/19306-0755/ },
doi = { 10.5120/19306-0755 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:45:30.957570+05:30
%A M Ramanjaneya Rao
%A P Ramakrishna
%T Image Denoising based on MAP Estimation using Dual Tree Complex Wavelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 4
%P 19-24
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wavelet shrinkage is a standard technique for image denoising. Using the good directionality and shift invariance properties of dual tree complex wavelet transform, a new algorithm for image denoisinig is proposed. In this algorithm, the decomposed coefficients combined with the bivariate shrinkage model for the estimation of coefficients in high frequency sub bands and Bayesian shrinkage method is applied in order to remove the noise in highest frequency sub-band coefficients. The experimental results are compared with the existing shrinkage methods Visu and Bayes shrinkage methods in terms of peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM).

References
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Index Terms

Computer Science
Information Sciences

Keywords

Dual Tree Complex wavelet transform (DTCWT) Bivariate shrinkage Bayes shrinkage Peak signal to noise ratio (PSNR) Structural similarity index (SSIM)

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