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Wavelet Thresholding for Image De-noising

Published on None 2011 by Rohit Sihag, Rakesh Sharma, Varun Setia
journal_cover_thumbnail

International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 14
None 2011
Authors: Rohit Sihag, Rakesh Sharma, Varun Setia
0ca6da2f-c702-4ab1-a340-0e841830dab9

Rohit Sihag, Rakesh Sharma, Varun Setia . Wavelet Thresholding for Image De-noising. International Conference on VLSI, Communication & Instrumentation. ICVCI, 14 (None 2011), 20-24.

@article{
author = { Rohit Sihag, Rakesh Sharma, Varun Setia },
title = { Wavelet Thresholding for Image De-noising },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 14 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 20-24 },
numpages = 5,
url = { /proceedings/icvci/number14/2734-1525/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A Rohit Sihag
%A Rakesh Sharma
%A Varun Setia
%T Wavelet Thresholding for Image De-noising
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 14
%P 20-24
%D 2011
%I International Journal of Computer Applications
Abstract

The de-noising is a challenging task in the field of signal and image processing. De-noising of the natural image corrupted by Gaussian noise using wavelet techniques are very effective because of its ability to capture the energy of a signal in few energy transform values. The wavelet denoising scheme thresholds the wavelet coefficients arising from the standard discrete wavelet transform. In this paper, we analyzed several methods of noise removal from degraded images with Gaussian noise by using adaptive wavelet threshold (Bayes Shrink, Normal Shrink and Neigh Shrink) and compare the results in term of PSNR.

References
  1. J. N. Ellinas, T. Mandadelis, A. Tzortzis, L. Aslanoglou, “Image de-noising using wavelets”, T.E.I. of Piraeus Applied Research Review, vol. IX, no. 1, pp. 97-109, 2004.
  2. Lakhwinder Kaur and Savita Gupta and R.C.Chauhan, “Image denoising using wavelet thresholding”, ICVGIP, Proceeding of the Third Indian Conference On Computer Vision, Graphics & Image Processing, Ahmdabad, India Dec. 16-18, 2002.
  3. S.Kother Mohideen, Dr. S. Arumuga Perumal, Dr.M.Mohamed Sathik. “Image De-noising using Discrete Wavelet transform”, IJCSNS International Journal of Computer Science and Network Security, vol .8, no.1, January 2008.
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Index Terms

Computer Science
Information Sciences

Keywords

Image De-noising Wavelet Thresholding Bayes Shrink Normal Shrink Neigh Shrink