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 December 2024
Reseach Article

A Decision based Unsymmetrical Trimmed Variants for the Removal of High Density Salt and Pepper Noise

by K. Vasanth, V. Jawahar Senthilkumar, Rajesh. V
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 15
Year of Publication: 2012
Authors: K. Vasanth, V. Jawahar Senthilkumar, Rajesh. V
10.5120/5773-8166

K. Vasanth, V. Jawahar Senthilkumar, Rajesh. V . A Decision based Unsymmetrical Trimmed Variants for the Removal of High Density Salt and Pepper Noise. International Journal of Computer Applications. 42, 15 ( March 2012), 53-66. DOI=10.5120/5773-8166

@article{ 10.5120/5773-8166,
author = { K. Vasanth, V. Jawahar Senthilkumar, Rajesh. V },
title = { A Decision based Unsymmetrical Trimmed Variants for the Removal of High Density Salt and Pepper Noise },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 15 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 53-66 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number15/5773-8166/ },
doi = { 10.5120/5773-8166 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:31:24.873909+05:30
%A K. Vasanth
%A V. Jawahar Senthilkumar
%A Rajesh. V
%T A Decision based Unsymmetrical Trimmed Variants for the Removal of High Density Salt and Pepper Noise
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 15
%P 53-66
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A Decision based scheme using a improved mesh based snake like sorting is proposed for the restoration of gray scale images that are heavily corrupted by salt and pepper noise. The proposed algorithm uses modified mean or median for image restoration. The processed pixel is examined for 0 or 255; if checked pixel is equal to 0 or 255, then it is considered as noisy pixel else not noisy. The noisy pixel is replaced by median of unsymmetrical trimmed output, if the current window has at least three noisy pixels or mean of first and last values of the un-symmetrical trimmed output. The uncorrupted pixel is left unchanged. The proposed algorithm shows excellent noise suppression capability with good edge preservation in heavy noisy conditions both qualitative and quantitatively. The proposed algorithm was applied on various grayscale images and found to have excellent PSNR and high IEF , low MSE and consumes less time even at very high noise densities with edge preservation.

References
  1. J. Astola and P. Kuosmaneen, Fundamentals of non linear Digital Filtering. Boca Raton, FL: CRC, 1997.
  2. H. Hwang and R. A. Hadded, "Adaptive median filter: New algorithms and results," IEEE transaction on image processing. , vol 4,no 4,pp 499-502
  3. P. E. Ng and K. K. Ma, "A switching median filter with boundary discriminative noise detection for extremely corrupted images," IEEE Transactions on image processing, vol. 15, no. 6, pp. 1506-1516,June 2006.
  4. S. Zhang and M. A. Karim, "A new impulse detector for switching median filters," IEEE Signal processing letters, vol. 9, no. 11, pp. 360-363, November 2002.
  5. K. S. Srinivasan and D. Ebenezer, "A new fast and efficient decision based algorithm for the removal of high density impulse noise," IEEE Signal processing letters, vol. 14, no. 3, pp. 189-192, March 2007.
  6. S. Balasubramanian, S. Kalishwaran, R. Muthuraj, D. Ebenezer, V. Jayaraj "An efficient Non linear cascade filtering algorithm for removal of high density salt and pepper noise in image and video sequence", Intl Conf on control, Automation, communication and Energy Conservation,2009,
  7. 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 international conference on computer modeling and simulation, 2010, pp. 409-413.
  8. S. Esakkirajan, T. Veerakumar, Adabala N. Subramanyam and C. H. Prem Chand, "Removal of high density Salt and pepper noise through modified decision based Unsymmetrical trimmed median filter. " IEEE Signal processing letters, Vol. 18,no. 5, May 2011.
  9. K. Vasanth, S. Karthik, "Unsymmetrical Trimmed median as Detectors for salt and pepper noise Removal", National Conference on signal and image processing- NCSIP2012, Gandhi gram rural university, February 2012, pages 31-35.
  10. K. K. Vasanth, S. Karthik, Sindu Divakaran "Removal of Salt & Pepper Noise Using Unsymmetrical Trimmed Variants as Detector", European journal of Scientific Research, Vol. 70 No. 3 (2012), pp. 468-478.
Index Terms

Computer Science
Information Sciences

Keywords

Decision Based Filter Unsymmetrical Trimmed Mean Filter Salt And Pepper Noise