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Speckle Noise Reduction using Multiple-Scan Total Variation Median Filter

Published on September 2014 by Jayashri Vajpai, Sandip Mehta, Sanjay B.c. Gaur
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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.

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Index Terms

Computer Science
Information Sciences

Keywords

Speckle Noise Total Variation Method Multiple-scan Median Filter