17 June 2021 Speckle phase map denoising based on empirical wavelet transform and cross correlation
Qiyang Xiao, Minghu Fan, Xianyu Zuo
Author Affiliations +
Abstract

In order to resolve the problem of speckle interference phase map noise interference, a phase denoising method of digital speckle pattern interferometry based on empirical wavelet transform (EWT) and cross correlation is proposed. First, the EWT is used to decompose the speckle phase map, and a series of components is obtained. Then the noise-free components containing phase information are extracted based on the cross correlation. After that, combined with the particle swarm optimization algorithm and sine–cosine denoising method, an improved sine–cosine denoising method is proposed to process the noise components. Finally, the noiseless components are reconstructed to obtain the denoised speckle phase map. Simulation and experimental results show that the proposed method can effectively reduce the noise interference and obtain accurate phase information.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2021/$28.00 © 2021 SPIE
Qiyang Xiao, Minghu Fan, and Xianyu Zuo "Speckle phase map denoising based on empirical wavelet transform and cross correlation," Optical Engineering 60(6), 064102 (17 June 2021). https://doi.org/10.1117/1.OE.60.6.064102
Received: 1 February 2021; Accepted: 27 May 2021; Published: 17 June 2021
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Denoising

Speckle

Wavelet transforms

Image filtering

Fluctuations and noise

Particle swarm optimization

Speckle pattern

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