CFP last date
22 April 2024
Reseach Article

A Novel Filter for Salt and Pepper Noise using Adaptive Interpolation Technique

Published on January 2013 by R. Vishnu Priya, C. Seldev Christopher
Emerging Technology Trends on Advanced Engineering Research - 2012
Foundation of Computer Science USA
ICETT - Number 2
January 2013
Authors: R. Vishnu Priya, C. Seldev Christopher
b3fa8f1d-946e-4136-ab40-26db00e94253

R. Vishnu Priya, C. Seldev Christopher . A Novel Filter for Salt and Pepper Noise using Adaptive Interpolation Technique. Emerging Technology Trends on Advanced Engineering Research - 2012. ICETT, 2 (January 2013), 25-30.

@article{
author = { R. Vishnu Priya, C. Seldev Christopher },
title = { A Novel Filter for Salt and Pepper Noise using Adaptive Interpolation Technique },
journal = { Emerging Technology Trends on Advanced Engineering Research - 2012 },
issue_date = { January 2013 },
volume = { ICETT },
number = { 2 },
month = { January },
year = { 2013 },
issn = 0975-8887,
pages = { 25-30 },
numpages = 6,
url = { /proceedings/icett/number2/9837-1017/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Emerging Technology Trends on Advanced Engineering Research - 2012
%A R. Vishnu Priya
%A C. Seldev Christopher
%T A Novel Filter for Salt and Pepper Noise using Adaptive Interpolation Technique
%J Emerging Technology Trends on Advanced Engineering Research - 2012
%@ 0975-8887
%V ICETT
%N 2
%P 25-30
%D 2013
%I International Journal of Computer Applications
Abstract

An interpolation technique with edge sensing and adaptive window size is proposed for restoration of images that are highly corrupted by salt and pepper noise. The new technique shows significantly better image quality than Standard Median Filter, Adaptive Median Filter, Decision Based Algorithm, Progressive Switched Median Filter, Decision Based Unsymmetric Trimmed Median Filter and Modified Decision Based Unsymmetric Trimmed Median Filter. The Proposed technique is tested against different images and it gives better Peak Signal-to-Noise Ratio.

References
  1. W. K. Pratt, Digital Image Processing, John Wiley &Sons, Inc, New York, NY, 1978.
  2. RC. Gonzalez and R. E. Woods, "Digital Image Processing", Prentice Hall, 2002.
  3. H. Hwang and R. A. Hadded, "Adaptive median filter: New algorithms and results," IEEE Transactions on Image Processing, vol. 4, no. 4, Apr. 1995, pp. 499–502.
  4. S. Manikandan, O. Uma Maheswari, D. Ebenezer, "An Adaptive Recursive Weighted Median Filter with Improved Performance in Impulsive Noisy Environment", WSEAS Transactions on Electronics, Issue 3, Vol. 1, July 2004.
  5. Zhou Wang and David Zhang, "Progressive switching median filter for the Removal of impulse noise from highly corrupted images," IEEE Trans Circuits and Systems-II: Analog and Digital Signal Processing, vol. 46, no. 1, Jan. 1999.
  6. Srinivasan K. S. and Ebenezer D, "A New Fast and Efficient Decision-Based Algorithm for Removal of High-Density Impulse Noises", IEEE signal process. Lett, Vol. 14, No. 3, pp. 189 -192, 2007.
  7. Pok, G. Jyh-Charn Liu, "Decision based median filter improved by predictions", ICIP 99(1999) proceedings vol. 2 pp 410-413.
  8. 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," in Second Int. Conf. Computer Modeling and Simulation, 2010, pp. 409–413.
  9. S. Esakkirajan, T. kumar, 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 Process. Lett, vol. 18, no. 5, May. 2011.
  10. H. -L. Eng and K. -K. Ma, "Noise adaptive soft-switching median filter," IEEE Transactions on Image Processing, vol. 10, no. 2, Feb. 2001, pp. 242–251.
  11. Pei-Eng Ng and Kai-Kuang Ma, "A Switching median filter with boundary noise detection for extremely corrupted images," IEEE Transactions on Image Processing, vol. 15, no. 6, June. 2006.
  12. J. Astola and P. Kuosmaneen, "Fundamentals of Nonlinear Digital Filtering," Boca Raton, FL: CRC, 1997.
Index Terms

Computer Science
Information Sciences

Keywords

Median Filter Salt And Pepper Noise Adaptive Interpolation