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Dynamic Wavelet Thresholding based Image Restoration

by Poonam Baruah, Kandarpa Kumar Sarma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 4
Year of Publication: 2013
Authors: Poonam Baruah, Kandarpa Kumar Sarma
10.5120/12874-9734

Poonam Baruah, Kandarpa Kumar Sarma . Dynamic Wavelet Thresholding based Image Restoration. International Journal of Computer Applications. 74, 4 ( July 2013), 24-29. DOI=10.5120/12874-9734

@article{ 10.5120/12874-9734,
author = { Poonam Baruah, Kandarpa Kumar Sarma },
title = { Dynamic Wavelet Thresholding based Image Restoration },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 4 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number4/12874-9734/ },
doi = { 10.5120/12874-9734 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:01.155749+05:30
%A Poonam Baruah
%A Kandarpa Kumar Sarma
%T Dynamic Wavelet Thresholding based Image Restoration
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 4
%P 24-29
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Images are corrupted by various means during its acquisition, processing, compression, transmission and reproduction. However, a host of techniques are available which have explored many ways and means to improve the quality of restoration. The paper presents the restoration of an image by de-noising based on soft thresholding. The process recovers the degraded images by adapting a dynamic wavelet transform to minimize the error to an extent which helps in achieving satisfactory, quality and suitable forms for certain medical applications.

References
  1. P. Hedaoo and S. S. Godbole, ??Wavelet Thresholding Approach for Image Denosing", International Journal of Network Security & Its Applications (IJNSA), vol. 3, no. 4, pp. 16-21, 2011.
  2. H. Om and M. Biswas, ??An Improved Image Denoisng Method Based On Wavelet Thresholding", Journal of Signal and Information Processing, vol 3, pp. 109-116, 2012.
  3. R. K. Rai and T. R. Soutakke, ??Implementation of Image Denoising Using Thresholding Techniques", International Journal of Computer Technology and Electronics Engineering (IJCTEE) vol 1, issue 2, pp. 6-10.
  4. A. Bijalwan, A. Goyal and N. SethI, ??Wavelet Transform Based Image Denoise Using Threshold Approaches", International Journal of Engineering and Advanced Technology (IJEAT), vol. 1, issue-5, pp. 6-10, 2012.
  5. S. G. Chang and M. Vetterli, "Adaptive Wavelet Thresholding For Image Denoisng And Compression", IEEE Transactions On Image Processing, vol. 9, no. 9, pp. 1532 1546, 2000.
  6. D. L. Donoho, ??Denoising by Soft Thresholding", IEEE Transactions On Information Theory, vol. 41, no. 3, pp. 613-627, 1995.
  7. X. Zhang, ??Adaptive Denoising Based On Sure Risk", IEEE Signal Processing Letters, vol. 5, no. 10, pp. 2-8, 1998.
  8. S. Khan, A. Jain and A. Khare, "Image denoising based on adaptive wavelet thresholding by using various shrinkage methods under different noise condition", International Journal of Computer Applications, vol. 59, no. 20, pp. 13-17, 2012.
  9. S. Arivazhagan, S. Deivalakshmi and K. Kannan, "Performance analysis of image denoising system for different levels of wavelet decomposition", International Journal Of Imaging Science And Engineering (IJISE),vol. 1, no. 3, pp. 104-107, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Dynamic wavelet thresholding image de-noising image restoration PSNR MSE

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