WAVELET DE-NOISING OF OPTICAL TERAHERTZ PULSE IMAGING DATA

Author:

FERGUSON BRADLEY1,ABBOTT DEREK2

Affiliation:

1. Centre for Biomedical Engineering and CRC for Sensor, Signal and Information Processing, Department of Electrical and Electronic Engineering, Adelaide University, SA, 5005, Australia

2. Centre for Biomedical Engineering, Department of Electrical and Electronic Engineering, Adelaide University, SA 5005, Australia

Abstract

Terahertz pulse imaging (TPI) systems are used to obtain sub-millimeter spectroscopic measurements for a wide range of applications. This letter highlights the use of wavelet de-noising to markedly improve the SNR of the obtained data, increasing the SNR by up to 10 dB. A comparison of different wavelet families and properties is presented and the results demonstrated on THz image data of an oak leaf and an Australian $100 note.

Publisher

World Scientific Pub Co Pte Lt

Subject

General Physics and Astronomy,General Mathematics

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