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Reseach Article

Biomedical Image Restoration based on Wavelet Diffusion

Published on December 2013 by Madhusmita Sahoo
2nd International conference on Computing Communication and Sensor Network 2013
Foundation of Computer Science USA
CCSN2013 - Number 3
December 2013
Authors: Madhusmita Sahoo
4a506d4d-268f-48cc-8f6a-92de3a5d1a1c

Madhusmita Sahoo . Biomedical Image Restoration based on Wavelet Diffusion. 2nd International conference on Computing Communication and Sensor Network 2013. CCSN2013, 3 (December 2013), 20-22.

@article{
author = { Madhusmita Sahoo },
title = { Biomedical Image Restoration based on Wavelet Diffusion },
journal = { 2nd International conference on Computing Communication and Sensor Network 2013 },
issue_date = { December 2013 },
volume = { CCSN2013 },
number = { 3 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 20-22 },
numpages = 3,
url = { /proceedings/ccsn2013/number3/14785-1322/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd International conference on Computing Communication and Sensor Network 2013
%A Madhusmita Sahoo
%T Biomedical Image Restoration based on Wavelet Diffusion
%J 2nd International conference on Computing Communication and Sensor Network 2013
%@ 0975-8887
%V CCSN2013
%N 3
%P 20-22
%D 2013
%I International Journal of Computer Applications
Abstract

This work deals with noise removal by the use of an edge preserving method called Perona–Malik diffusion or anisotropic diffusion[2][3]. This technique is used for image restoration without removing significant parts of the image content, typically edges or other details. In this scheme anisotropic diffusion is performed on DWT domain[1][7] which is more stationary than noisy image domain. In DWT domain noise decreases with increase in scale and at each scale, noise has less influence on the PDE than that in the image domain. Experimental results have shown that the proposed algorithm can significantly reduce noise while image edges are preserved.

References
  1. Junmei Zhong, Huifang Sun , Wavelet-Based Multiscale Anisotropic Diffusion with Adaptive Statistical Analysis for Image Restoration ,IEEE 2008.
  2. ] P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion", IEEE Trans. on Pattern Anal. and Mach. Intell. ,vol. 12, no. 7, pp. 629-639, 1990
  3. PietroPerona and Jitendra Malik (November 1987). "Scale-space and edge detection using anisotropic diffusion". Proceedings of IEEE Computer Society Workshop on Computer Vision,. pp. 16–22.
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  6. Wang Zhiming Bao Hong , Zhang Li " Image Denoising by Anisotropic Diffusion in Wavelet Domain" Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on Volume:2
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  10. M. Vetterli and C. Herley, Wavelets and Filter Banks: Theory and Design," IEEE Transactions on Signal Processing, Vol. 40, 1992, pp. 2207-2232.
Index Terms

Computer Science
Information Sciences

Keywords

Perona–malik Diffusion dwt image Restoration.