WAVELET DE-NOISING OF OPTICAL TERAHERTZ PULSE IMAGING DATA

DOI Web Site 被引用文献1件
  • BRADLEY FERGUSON
    Centre for Biomedical Engineering and CRC for Sensor, Signal and Information Processing, Department of Electrical and Electronic Engineering, Adelaide University, SA, 5005, Australia
  • DEREK ABBOTT
    Centre for Biomedical Engineering, Department of Electrical and Electronic Engineering, Adelaide University, SA 5005, Australia

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<jats:p> 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. </jats:p>

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