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

Speckle Noise Reduction using Multiple-Scan Total Variation Median Filter

Published on September 2014 by Jayashri Vajpai, Sandip Mehta, Sanjay B.c. Gaur
National Conference on Advances in Technology and Applied Sciences
Foundation of Computer Science USA
NCATAS - Number 2
September 2014
Authors: Jayashri Vajpai, Sandip Mehta, Sanjay B.c. Gaur
f31ba294-e60a-4900-97d2-8466fabfac9e

Jayashri Vajpai, Sandip Mehta, Sanjay B.c. Gaur . Speckle Noise Reduction using Multiple-Scan Total Variation Median Filter. National Conference on Advances in Technology and Applied Sciences. NCATAS, 2 (September 2014), 28-31.

@article{
author = { Jayashri Vajpai, Sandip Mehta, Sanjay B.c. Gaur },
title = { Speckle Noise Reduction using Multiple-Scan Total Variation Median Filter },
journal = { National Conference on Advances in Technology and Applied Sciences },
issue_date = { September 2014 },
volume = { NCATAS },
number = { 2 },
month = { September },
year = { 2014 },
issn = 0975-8887,
pages = { 28-31 },
numpages = 4,
url = { /proceedings/ncatas/number2/17955-1616/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Technology and Applied Sciences
%A Jayashri Vajpai
%A Sandip Mehta
%A Sanjay B.c. Gaur
%T Speckle Noise Reduction using Multiple-Scan Total Variation Median Filter
%J National Conference on Advances in Technology and Applied Sciences
%@ 0975-8887
%V NCATAS
%N 2
%P 28-31
%D 2014
%I International Journal of Computer Applications
Abstract

This paper proposes a two-stage multiple-scan Total Variation (TV) median filter for speckle noise reduction. In the first stage, the total variation method is applied to the speckled image. It is based on the principle that signals with excessive and possibly spurious detail have high total variation, that is, the integral of the absolute gradient of the signal is high. In the second stage, the image is scanned from three other directions also and the above mentioned method is applied to all the scans. The value of each pixel in the final output is then calculated by taking the median of the corresponding pixel in the four scans. The proposed technique is very effective for both low and high level speckle noise corrupted images. Extensive computer simulations indicate that this technique provides significant improvement over many other existing techniques in terms of PSNR.

References
  1. R. C. Gonzalez and R. E. Woods, "Digital Image Processing", 2nd edition, Prentice Hall, 2002.
  2. R. C. Gonzalez, R. E. Woods and S. L. Eddins, "Digital Image Processing Using MATLAB", Pearson, 2004.
  3. B. Chanda and D. D. Majumdar, "Digital Image Processing and Analysis", Prentice Hall of India, 1996.
  4. A. K. Jain, "Fundamentals of Digital Image Processing", Prentice Hall of India, 1989.
  5. A. Bovik, Handbook of Image and Video Processing. New York: Academic, 2000.
  6. X. Zong, A. F. Laine and E. A. Geiser, " Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing", IEEE Transactions on. Medical Imaging, Vol. 17, pp. 532–540, 1998.
  7. A. Bezerianos and P. Tsakalides, "Novel Bayesian Multiscale for Speckle Removal in Medical Ultrasound Images", IEEE Transactions on Medical Imaging Journal, Vol. 20, No. 8, pp. 772-783, 2001.
  8. S. Gupta, L. Kaur, R. C. Chauhan and S. C. Saxena, "A wavelet based statistical approach for speckle reduction in medical ultrasound images", TENCON 2003. DOI: 10. 1119/TENCON. 2003. 1273218.
  9. S. Guadalupe, V. Vidal and G. Verdu, "Medical image restoration with different type of noise", 34th Annual International Conference of the IEEE EMBS, USA, 2012. DOI: 10. 1119/EMBC. 2012. 6346937.
  10. L. Rudin, S. Osher and E. Fatemi, "Nonlinear Total Variation Based Noise Removal Algorithms," Physica D. , Vol. 60, pp. 259-268, 1992.
  11. A. Chambolle "An Algorithm for Total Variation Minimization and Applications", Journal of Math. Imaging and Vision, Vol. 20, pp. 89-97, 2004.
  12. D. T. Kaun, Sowchauk, T. C. Strand, P. Chavel. "Adaptive noise smoothing filters for images with signal dependent Noise", IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. PMAI -7, pp. 165-177, 1985.
  13. V. S. Frost, J. A. Stiles, K. S. Shanmugam, J. C. Holtzman, "A model for radar image & its application to Adaptive digital filtering for multiplicative noise", IEEE Transaction on pattern analysis and machine intelligence, Vol. PAMI-4, No. 2, pp. 157-166,1982.
  14. J. S. Lee, "Refined filtering of image noise using local statistics", Computer Vision, Graphics, and Image Processing, Vol. 15, Issue 4, April 1981, Pages 380-389
Index Terms

Computer Science
Information Sciences

Keywords

Speckle Noise Total Variation Method Multiple-scan Median Filter