We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
Reseach Article

Article:Performance Improvement in Noisy Image Enhancement

by Adil Siddiqui, Meenakshi Sharma, Manish Zadoo, Salil Khare
journal cover thumbnail
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 27
Year of Publication: 2010
Authors: Adil Siddiqui, Meenakshi Sharma, Manish Zadoo, Salil Khare
10.5120/502-819

Adil Siddiqui, Meenakshi Sharma, Manish Zadoo, Salil Khare . Article:Performance Improvement in Noisy Image Enhancement. International Journal of Computer Applications. 1, 27 ( February 2010), 34-35. DOI=10.5120/502-819

@article{ 10.5120/502-819,
author = { Adil Siddiqui, Meenakshi Sharma, Manish Zadoo, Salil Khare },
title = { Article:Performance Improvement in Noisy Image Enhancement },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 27 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 34-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number27/502-819/ },
doi = { 10.5120/502-819 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:49:04.132021+05:30
%A Adil Siddiqui
%A Meenakshi Sharma
%A Manish Zadoo
%A Salil Khare
%T Article:Performance Improvement in Noisy Image Enhancement
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 27
%P 34-35
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

From the computational complexity point of view it is found that traditional image enhancement techniques used to require large no. of computations but our idea is that image smoothening can also be used as edge enhancement filters. This way of edge enhancement has specific advantage over the traditional edge enhancement filters especially in enhancing the edges of a noisy image.

References
  1. R.Gozales and R.Woods Digital signal processing Addison Wesley, 1992
  2. DEDIP: a user friendly Environment for digital Image processing Algorithm development
  3. Digital image processing- an Object-oriented approach Roman, D; Fisher, M; Cubillo, J:
Index Terms

Computer Science
Information Sciences

Keywords

Image smoothening filter edge enhancement noise algorithm Gaussian median kunwahara