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A New Approach to Image Denoising based on Wiener-LMMSE Scheme

by Abhinandan Kalita, Md. Sajjad Hossain, Kandarpa Kumar Sarma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 22
Year of Publication: 2012
Authors: Abhinandan Kalita, Md. Sajjad Hossain, Kandarpa Kumar Sarma
10.5120/7084-9778

Abhinandan Kalita, Md. Sajjad Hossain, Kandarpa Kumar Sarma . A New Approach to Image Denoising based on Wiener-LMMSE Scheme. International Journal of Computer Applications. 45, 22 ( May 2012), 41-47. DOI=10.5120/7084-9778

@article{ 10.5120/7084-9778,
author = { Abhinandan Kalita, Md. Sajjad Hossain, Kandarpa Kumar Sarma },
title = { A New Approach to Image Denoising based on Wiener-LMMSE Scheme },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 22 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 41-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number22/7084-9778/ },
doi = { 10.5120/7084-9778 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:38:17.505968+05:30
%A Abhinandan Kalita
%A Md. Sajjad Hossain
%A Kandarpa Kumar Sarma
%T A New Approach to Image Denoising based on Wiener-LMMSE Scheme
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 22
%P 41-47
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Several noise removal techniques have proven their worth in image processing applications. After an overview of some image denoising approaches, we introduce a LMMSE-based denoising technique with wavelet multiscale model and wiener filter in spatial domain. This proposed denoising technique stands out prominent in terms of SNR, MSE and PSNR compared to some more denoising techniques (also proposed in this paper). The Overcomplete Wavelet Expansion (OWE) which is also employed, provides better result compared to Orthogonal Wavelet Transform (OWT). Moreover, some fine details of the image such as edges, curves etc. is preserved using the LMMSE rule.

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Index Terms

Computer Science
Information Sciences

Keywords

Denoising Discrete Wavelet Transform (dwt) Wiener Filter Overcomplete Wavelet Expansion (owe) Multiscale Lmmse Mean Square Error (mse) And Peak Signal To Noise Ratio (psnr)

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