CFP last date
20 January 2025
Reseach Article

A Review : Various Image Denoising Techniques

by Archita Singh Parihar, Megha Jain
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 6
Year of Publication: 2014
Authors: Archita Singh Parihar, Megha Jain
10.5120/16596-6399

Archita Singh Parihar, Megha Jain . A Review : Various Image Denoising Techniques. International Journal of Computer Applications. 95, 6 ( June 2014), 9-12. DOI=10.5120/16596-6399

@article{ 10.5120/16596-6399,
author = { Archita Singh Parihar, Megha Jain },
title = { A Review : Various Image Denoising Techniques },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 6 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number6/16596-6399/ },
doi = { 10.5120/16596-6399 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:18:42.073246+05:30
%A Archita Singh Parihar
%A Megha Jain
%T A Review : Various Image Denoising Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 6
%P 9-12
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Removal of noise is an essential and challengeable operation in image processing. Before performing any process, images must be first restored. Images may be corrupted by noise during image transmission through electronic media. Noise effect always corrupts any recorded image which is much more harmful for future process. To overcome the problem of noise level in digital images this paper present a review of different image denoising method. In this paper various filters are used for image denoising. This proposed method adopt first and second order mean filter (FSOMF) in which for first phase we detect the impulse noise. And the second phase which is also called as filtering phase replaces the detected noise pixel. Finally able to show in our experimental result of proposed method FSOMF, is capable of filtering of impulse noise.

References
  1. Anil K jain, Fundamentals of Digital Image Processing. New Jersey: Prentice Hall, 1989.
  2. Scott E Umbaugh, Computer Vision and Image Processing. New Jersey: Prentice Hall, 1998.
  3. J. N. Lin, Nie X. , and Unbehauen R. ,"Two-Dimensional LMS Adaptive Filter Incorporating a Local-Mean Estimator for Image Processing," IEEE Transactions on Circuits and Systems-II. , vol. 40, no. 7, pp. 417-428, July 1993.
  4. Nellaperumal. K, Varghese. J, Saudia. S, R. K. Selvakumar, K. Krishnaveni and S. S. Vinsley, "Selective Switching Median Filter (SSMF) for the Removal of Salt & Pepper Impulse Noise," Internatinal Conference on Wiresless and Optical Communications Networks, pp. 5-10, 2006.
  5. Krishna Nallaperumal. , Justin Varghese, Saudia S. Arulmozhi K. , Velu K. and Annam S. ,"Salt & Pepper Impulse Noise Removal using Adaptive Switching Median Filter," Asia Pacific OCEANS. , pp. 1-8, May 16-19, 2007.
  6. DENG Xiuqin, XIONG and Yong PENG HONG,"A new kind of weighted median filtering algorithm used for image Processing," International Symposium on Information Science and Engineering. , vol. 2, pp. 738-743, Dec. 20-22, 2008.
  7. S. Balasubramanian, S. Kalishwaran, R. Muthuraj, D. Ebenezer and V. Jayaraj,"An Efficient Non-linear Cascade Filtering Algorithm for Removal of High Density Salt and Pepper Noise in Image and Video sequence," International Conference on Control, Automation, Communication and Energy Conservation. , pp. 1-6, June 4-6, 2009.
  8. S. Esakkirajan, T. Veerakumar, Adabala N. Subramanyam and C. H. PremChand,"Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetric Trimmed Median Filter," IEEE Signal Processing Letters, vol. 18, no. 5, pp. 287-290, May 2011.
  9. K. Aiswarya, V. Jayaraj, and D. Ebenezer,"A new and efficient algorithm for the removal of high density salt and pepper noise in images and videos," Second International Conference on Computer Modeling and Simulation. , pp. 409–413, Jan. 22-24, 2010.
  10. T. Sunilkumar, A. Srinivas, M. Eswae Reddy and Dr. G. Ramachandren Reddy,"Removal of high density impulse noise through modified non-linear filter," Journal of Theoretical and Applied Information Technology. , vol. 47, no. 2, pp. 1817-3195, Jan. 20, 2013.
  11. Ashwni kumar and Priyadarshi kanungo,"First Order Neighborhood decision based Median filter," World Congress on Information and Communication Technologies. , pp. 785-789, Oct. 30- Nov. 2, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Denoising Mean Filter Impulse Noise.