Research of phase retrieval algorithm in laser reflective tomography imaging

Zhao Nanxiang; Hu Yihua

doi:10.3788/IRLA201948.1005005

The random moving and jitter of the target rotation center will lead to the projection center mismatch in the process of laser reflection tomography. The phase retrieval algorithm was employed to reconstruct the fault image. The phase errors caused by random motion by repeated intensity iteration was eliminated to reduce reconstruction error and restore target image. Aiming at the slow convergence speed and poor accuracy of G-S algorithm,the modulus weighting algorithm was provided to restore projection data. The simulation experiments show that the convergence speed and convergence accuracy of the algorithm are increased by more than 1.2 times. The mean square error of the three sets of reconstructed images in the simulation experiments is reduced from 2.487 5 to 0.792 7. The target image contour also be sharper by the method. The field experiments show that the image reconstruction artifact can be effectively eliminated and the imaging quality of the laser reflective tomography system is improved.

Research of phase retrieval algorithm in laser reflective tomography imaging

1. State Key Laboratory of Pulsed Power Laser Technology,National University of Defense Technology,Hefei 230037,China;

2. Anhui Province Key Laboratory of Electronic Restriction,National University of Defense Technology,Hefei 230037,China

Received Date: 2019-05-11

Rev Recd Date: 2019-06-21

Publish Date: 2019-10-25

Key words:

Abstract: The random moving and jitter of the target rotation center will lead to the projection center mismatch in the process of laser reflection tomography. The phase retrieval algorithm was employed to reconstruct the fault image. The phase errors caused by random motion by repeated intensity iteration was eliminated to reduce reconstruction error and restore target image. Aiming at the slow convergence speed and poor accuracy of G-S algorithm,the modulus weighting algorithm was provided to restore projection data. The simulation experiments show that the convergence speed and convergence accuracy of the algorithm are increased by more than 1.2 times. The mean square error of the three sets of reconstructed images in the simulation experiments is reduced from 2.487 5 to 0.792 7. The target image contour also be sharper by the method. The field experiments show that the image reconstruction artifact can be effectively eliminated and the imaging quality of the laser reflective tomography system is improved.

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Reference (13)

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Research of phase retrieval algorithm in laser reflective tomography imaging

doi: 10.3788/IRLA201948.1005005

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