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Reseach Article

Dynamic Wavelet Thresholding based Image Restoration

by Poonam Baruah, Kandarpa Kumar Sarma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 4
Year of Publication: 2013
Authors: Poonam Baruah, Kandarpa Kumar Sarma
10.5120/12874-9734

Poonam Baruah, Kandarpa Kumar Sarma . Dynamic Wavelet Thresholding based Image Restoration. International Journal of Computer Applications. 74, 4 ( July 2013), 24-29. DOI=10.5120/12874-9734

@article{ 10.5120/12874-9734,
author = { Poonam Baruah, Kandarpa Kumar Sarma },
title = { Dynamic Wavelet Thresholding based Image Restoration },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 4 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number4/12874-9734/ },
doi = { 10.5120/12874-9734 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:01.155749+05:30
%A Poonam Baruah
%A Kandarpa Kumar Sarma
%T Dynamic Wavelet Thresholding based Image Restoration
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 4
%P 24-29
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Images are corrupted by various means during its acquisition, processing, compression, transmission and reproduction. However, a host of techniques are available which have explored many ways and means to improve the quality of restoration. The paper presents the restoration of an image by de-noising based on soft thresholding. The process recovers the degraded images by adapting a dynamic wavelet transform to minimize the error to an extent which helps in achieving satisfactory, quality and suitable forms for certain medical applications.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Dynamic wavelet thresholding image de-noising image restoration PSNR MSE