CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Application of Spatial Domain Filters on Noisy Images using MATLAB

by R. Swaminathan
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 2
Year of Publication: 2016
Authors: R. Swaminathan
10.5120/ijca2016907824

R. Swaminathan . Application of Spatial Domain Filters on Noisy Images using MATLAB. International Journal of Computer Applications. 134, 2 ( January 2016), 27-30. DOI=10.5120/ijca2016907824

@article{ 10.5120/ijca2016907824,
author = { R. Swaminathan },
title = { Application of Spatial Domain Filters on Noisy Images using MATLAB },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 2 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 27-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number2/23889-2016907824/ },
doi = { 10.5120/ijca2016907824 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:33:05.724777+05:30
%A R. Swaminathan
%T Application of Spatial Domain Filters on Noisy Images using MATLAB
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 2
%P 27-30
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Noise is an unwanted information present in an image. Such unwanted information in an image can be removed with filters. In digital image processing, filters can be applied on an image in two ways, which include spatial and frequency domain. This paper mainly deals with the application of spatial domain filters on noisy images for the purpose of identifying the efficiency of the filters in terms of enhancing the quality of the image by removing the noise present on it.

References
  1. http://in.mathworks.com/help/images/noise-removal.html.
  2. Digital Image Processing, S. Sridhar, Oxford University Press.
  3. Performance Comparison of Various Filters for Removing Gaussian and Poisson Noises, Pratap Singh Chahar, VandanaVikas Thakare, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 02 Issue: 05 | Aug-2015.w
  4. Performance Comparison of Various Image Denoising Filters Under Spatial Domain, Inderpreet Singh Nirvair Neeru, International Journal of Computer Applications (0975 – 8887) Volume 96-No.19, June 2014.
  5. A Study of Digital Image Filtering Techniques in Spatial Image Processing,Nayan Patel Abhishek Shah Mayur Mistry Kruti Dangarwala, International Conference on Convergence of Technology – 2014 , 978-1-4799-3759-2/14/©2014 IEEE.
  6. http://ethesis.nitrkl.ac.in/1529/1/PhD_Thesis-bhoi.pdf.
  7. Image De-noising by Various Filters for Different Noise, Pawan Patidar, Manoj Gupta, Sumit Srivastava, Ashok Kumar Nagawat, International Journal of Computer Applications (0975 – 8887) Volume 9– No.4, November 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Salt & Pepper Noise Gaussian Noise Speckle Noise Mean Filter Median Filter Gaussian Filter and Wiener Filter.

Powered by PhDFocusTM