Research on air bubble measurement based on compressive holography

Zhi Zhong; Zhongyuan Liu; Lei Liu

doi:10.1117/12.2689252

31 July 2023 Research on air bubble measurement based on compressive holography

Zhi Zhong, Zhongyuan Liu, Lei Liu

Author Affiliations +

Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 1274718 (2023) https://doi.org/10.1117/12.2689252
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China

Abstract

In-line digital holography is wildly used to measure object field. While it might on one hand is outstanding in non-contact, simple structure and high resolution, on the other hand its zero-order terms, real and conjugated images are aliased together, also the information of real image is not legible. Compressive holography applies optimization algorithms to eliminate the interference from in-line digital holography imaging, its algorithm model requires zero-padding to avoid cyclic convolution artifacts. Based on the equally divided block compression holography model, this paper illustrates a combination of zeropadding and data-padding, that fulfils a certain amount of redundant information sub-hologram based on the equidistant hologram. The redundant information protects the boundary in the compression holographic model operation, and achieves the high-resolution reconstruction of the in-line hologram. In addition, the method can reconstruct in-line hologram, plus the lateral resolution can reach 1 μm in bubble sample experiment. This is a thirtyfold increase compared to the national standard GBT 15489.2-1995. The relative error of bubble diameter measurement is only 0.48%, which is substantially lower than the traditional techniques.

Citation Download Citation

Zhi Zhong, Zhongyuan Liu, and Lei Liu "Research on air bubble measurement based on compressive holography", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 1274718 (31 July 2023); https://doi.org/10.1117/12.2689252

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KEYWORDS

Holograms

Reconstruction algorithms

Holography

Bubbles

3D image reconstruction

Digital holography

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