Wavelet based compression and denoising of optical tomography data

Nath, Sumit K and Vasu, RM and Pandit, M (1999) Wavelet based compression and denoising of optical tomography data. In: Optics Communications, 167 (1-6). pp. 37-46.

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Abstract

Two methods based on wavelet/wavelet packet expansion to denoise and compress optical tomography data containing scattered noise are presented, In the first, the wavelet expansion coefficients of noisy data are shrunk using a soft threshold. In the second, the data are expanded into a wavelet packet tree upon which a best basis search is done. The resulting coefficients are truncated on the basis of energy content. It can be seen that the first method results in efficient denoising of experimental data when scattering particle density in the medium surrounding the object was up to 12.0 x 10(6) per cm(3). This method achieves a compression ratio of approximate to 8:1. The wavelet packet based method resulted in a compression of up to 11:1 and also exhibited reasonable noise reduction capability. Tomographic reconstructions obtained from denoised data are presented. (C) 1999 Published by Elsevier Science B.V. All rights reserved,

Item Type:	Journal Article
Publication:	Optics Communications
Publisher:	Elsevier Science
Additional Information:	Copyright of this article belongs to Elsevier Science.
Keywords:	Optical tomography;Denoising;Wavelet transform;Image reconstruction
Department/Centre:	Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics
Date Deposited:	03 Aug 2011 06:57
Last Modified:	03 Aug 2011 06:57
URI:	http://eprints.iisc.ac.in/id/eprint/38918

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