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Reseach Article

Wavelet Transform based Estimation of Images using different Thresholding Techniques

by Sk. Ayesha, M. V. R. Amara Lingeswara Rao, Koteswararao Mallaparapu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 167 - Number 8
Year of Publication: 2017
Authors: Sk. Ayesha, M. V. R. Amara Lingeswara Rao, Koteswararao Mallaparapu
10.5120/ijca2017914351

Sk. Ayesha, M. V. R. Amara Lingeswara Rao, Koteswararao Mallaparapu . Wavelet Transform based Estimation of Images using different Thresholding Techniques. International Journal of Computer Applications. 167, 8 ( Jun 2017), 20-24. DOI=10.5120/ijca2017914351

@article{ 10.5120/ijca2017914351,
author = { Sk. Ayesha, M. V. R. Amara Lingeswara Rao, Koteswararao Mallaparapu },
title = { Wavelet Transform based Estimation of Images using different Thresholding Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2017 },
volume = { 167 },
number = { 8 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume167/number8/27793-2017914351/ },
doi = { 10.5120/ijca2017914351 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:14:18.693214+05:30
%A Sk. Ayesha
%A M. V. R. Amara Lingeswara Rao
%A Koteswararao Mallaparapu
%T Wavelet Transform based Estimation of Images using different Thresholding Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 167
%N 8
%P 20-24
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Estimating the images using decimated wavelet transform is very popular technique in different applications. In this paper a new thresholding function with combination of Smoothly Clipped Absolute Deviation (SCAD), Hard thresholding and soft thresholding functions are introduced for wavelet based denoising of images. The proposed technique is applied for denoising of noisy images contaminated with additive white Gaussian noise using Top rule and Visu rule. The results are compared with that of existing SCAD, hard and soft functions denoising method. Root Mean Square Error (RMSE) and Peak Signal to Noise Ratio (PSNR) are used as parameters for testing the quality of denoising.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wavelet transform decimated wavelet transform image denoising new thresholding function top rule Visu rule.