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Open AccessArticle
Information Entropy Analysis of a PIV Image Based on Wavelet Decomposition and Reconstruction
by
Zhiwu Ke
Zhiwu Ke 1,*,
Wei Zheng
Wei Zheng 1
,
Xiaoyu Wang
Xiaoyu Wang 2 and
Mei Lin
Mei Lin 2
1
Science and Technology on Thermal Energy and Power Laboratory, Wuhan Second Ship Design and Research Institute, Wuhan 430025, China
2
School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
*
Author to whom correspondence should be addressed.
Entropy 2024, 26(7), 573; https://doi.org/10.3390/e26070573 (registering DOI)
Submission received: 11 May 2024
/
Revised: 20 June 2024
/
Accepted: 24 June 2024
/
Published: 30 June 2024
Abstract
In particle image velocimetry (PIV) experiments, background noise inevitably exists in the particle images when a particle image is being captured or transmitted, which blurs the particle image, reduces the information entropy of the image, and finally makes the obtained flow field inaccurate. Taking a low-quality original particle image as the research object in this research, a frequency domain processing method based on wavelet decomposition and reconstruction was applied to perform particle image pre-processing. Information entropy analysis was used to evaluate the effect of image processing. The results showed that useful high-frequency particle information representing particle image details in the original particle image was effectively extracted and enhanced, and the image background noise was significantly weakened. Then, information entropy analysis of the image revealed that compared with the unprocessed original particle image, the reconstructed particle image contained more effective details of the particles with higher information entropy. Based on reconstructed particle images, a more accurate flow field can be obtained within a lower error range.
Share and Cite
MDPI and ACS Style
Ke, Z.; Zheng, W.; Wang, X.; Lin, M.
Information Entropy Analysis of a PIV Image Based on Wavelet Decomposition and Reconstruction. Entropy 2024, 26, 573.
https://doi.org/10.3390/e26070573
AMA Style
Ke Z, Zheng W, Wang X, Lin M.
Information Entropy Analysis of a PIV Image Based on Wavelet Decomposition and Reconstruction. Entropy. 2024; 26(7):573.
https://doi.org/10.3390/e26070573
Chicago/Turabian Style
Ke, Zhiwu, Wei Zheng, Xiaoyu Wang, and Mei Lin.
2024. "Information Entropy Analysis of a PIV Image Based on Wavelet Decomposition and Reconstruction" Entropy 26, no. 7: 573.
https://doi.org/10.3390/e26070573
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