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Reseach Article

Level Shifting based Decision Trimmed Filter for Multiplicative Noises

by Sukhninder Singh, Neetu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 5
Year of Publication: 2016
Authors: Sukhninder Singh, Neetu
10.5120/ijca2016910616

Sukhninder Singh, Neetu . Level Shifting based Decision Trimmed Filter for Multiplicative Noises. International Journal of Computer Applications. 145, 5 ( Jul 2016), 9-14. DOI=10.5120/ijca2016910616

@article{ 10.5120/ijca2016910616,
author = { Sukhninder Singh, Neetu },
title = { Level Shifting based Decision Trimmed Filter for Multiplicative Noises },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 5 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 9-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number5/25272-2016910616/ },
doi = { 10.5120/ijca2016910616 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:47:57.212771+05:30
%A Sukhninder Singh
%A Neetu
%T Level Shifting based Decision Trimmed Filter for Multiplicative Noises
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 5
%P 9-14
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The most recent approach manages to boost the particular contrast within digital images in productive manner through the use of the incorporated proposed algorithm. To preserve the edges and borders gradient based smoothing will also be used. And also the proposed approach has offered quite useful results, thus causes it to become more useful. The planned technique is created and implemented inside the MATLAB utilizing image processing toolbox. The comparison among proposed and existing median filter techniques will also be drawn by taking some image performance parameters like root mean square error, edge preservation index.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Digital Image Processing Applications of image processing filters