Longitudinal resolution enhancement of terahertz imaging based on empirical wavelet coefficient mode decomposition
Author:
Affiliation:

1.Beijing Key Laboratory for Terahertz Spectroscopy and Imaging, MOE Key Laboratory of Terahertz Optoelectronics, Department of Physics, Capital Normal University, Beijing 100048, China;2.Beijing Key Laboratory of Millimeter Wave and Terahertz Technology, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;3.Kuang-Chi Silver Star Base Technology Room, Shenzhen Kuang-Chi Advanced Technology Co., Ltd, Shenzhen 518000, China

Clc Number:

O43

Fund Project:

Supported by the Beijing Advanced Innovation Center for Imaging Theory and Technology Scientific Research Funds (008/19530012003); the Capital Normal University Development Funds by Category - Physics Department - Practice Base Projects for Degree Study Program (008-2155089)

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    Abstract:

    In order to improve the longitudinal resolution of terahertz imaging detection, a novel longitudinal resolution enhancement method based on empirical mode decomposition of continuous wavelet was proposed. Firstly, the frequency domain signals of the sample are processed by continuous wavelet transform to obtain the corresponding continuous wavelet transforms coefficients. Then, the obtained continuous wavelet coefficients are decomposed by empirical mode decomposition, which is adaptive decomposed into a series of intrinsic mode functions and a residual signal. And the first-order intrinsic mode functions are extracted as the imaging parameter for 3D reconstruction to obtain the final 3D intrinsic mode function image, so as improving the longitudinal resolution of terahertz detection image. In order to verify the effectiveness of the method, the 150~220 GHz high frequency terahertz frequency modulated radar imaging system was used to detect two kinds of sandwich structure composite material with internal adhesive debonding defects, and the proposed method was used to process them. The detection results images of the longitudinal resolution effectively enhanced and the sharpness effectively improved was obtained, which provides a new idea of future terahertz computer tomography imaging and terahertz non-destructive testing research.

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LI Zhi-Long, ZUO Jian, ZHAO Yuan-Meng, HAN Zhong-De, XU Zhi-Hao, ZHAO Yun-Zhang, YANG Chao, HU Wei-Dong, ZHANG Cun-Lin. Longitudinal resolution enhancement of terahertz imaging based on empirical wavelet coefficient mode decomposition[J]. Journal of Infrared and Millimeter Waves,2022,41(4):710~720

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History
  • Received:November 10,2021
  • Revised:August 11,2022
  • Adopted:April 14,2022
  • Online: August 10,2022
  • Published: