Novel method for processing mass diffusion holographic interference image via discrete fourier transform based phase measurement

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Abstract

A new processing method of holographic interference image for measuring mass diffusion coefficient was proposed by adopting the theory of discrete Fourier transform (DFT) in phase detection of the mass diffusion interference image. The method consists of four steps, i.e., wavelet denoise, wave filtering in frequency domain, reconstruction of object wave, and least squares phase unwrapping. The holographic interference image of 0.33 mol/L KCl solution with water at the temperature of 298.15 K and the holographic interference image of 0.1 mol/L sucrose solution with water at five different temperatures were processed using the present method. Literature data and the processing results were compared and the accuracy of this method was verified. It is possible that adopting the present method can extract the phase information of the interference image completely and then improve the processing precision greatly.

Original languageEnglish
Pages (from-to)1350-1355
Number of pages6
JournalHsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
Volume42
Issue number11
StatePublished - Nov 2008

Keywords

  • Frequency-domain wave filtering
  • Image process
  • Laser holographic interferometry
  • Mass diffusion coefficient
  • Phase measurement
  • Wavelet transform

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