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Interference suppression in digital holographic images
N.N. Yudin 1,2,3, G.S. Geimbukh 1, V.S. Kuznetsov 2, M.M. Zinoviev 2,3, M.M. Kulesh 1,2, S.N. Podzyvalov 2, E.S. Slyunko 2, H. Baalbaki 2

1 “IGS” Ltd.,
28 Vladimir Vysotsky Str., Bld.7, 634040, Tomsk, Russia;
2 National Research Tomsk State University,
36 Prospekt Lenina, Tomsk, 634050, Russia;
3 V.E. Zuev Institute of Optics and Atmosphere, Siberian Branch of the Russian Academy of Sciences,
1 Academika Zueva Pl., Tomsk, Russia

 PDF, 11 MB

DOI: 10.18287/2412-6179-CO-1596

Pages: 758-766.

Full text of article: Russian language.

Abstract:
This paper presents a digital filtering software module for noise suppression in reconstructed holographic images and in original digital holograms. In the core of the developed module is a direct two-dimensional Fourier transform applied to the holographic image. In the obtained Fourier image of the hologram, the algorithm determines pixels carrying information about interference with white color brightness (grayscale palette) below a certain threshold (in our case, based on experimental results, a threshold of 50 was chosen). Then, using an averaging operator, the brightness of such pixels is brought to the brightness value of the surrounding pixels, creating a blurring effect. After filtering, an inverse two-dimensional Fourier transform is applied to obtain a noise-free digital filtered image of the coordinate plane. Based on the results of processing of numerous digital holograms, it is revealed that the developed module can remove interference without loss of information about the shape and location of the registered objects.

Keywords:
digital holography, digital holographic camera, flaw detection, direct two-dimensional Fourier transform, inverse two-dimensional Fourier transform.

Citation:
Yudin NN, Geimbukh GS, Kuznetsov VS, Zinoviev MM, Kulesh MM, Podzyvalov SN, Slyunko ES, Baalbaki H. Interference suppression in digital holographic images. Computer Optics 2025; 49(5): 758-766. DOI: 10.18287/2412-6179-CO-1596.

Acknowledgements:
The work was funded by the Ministry of Education and Science of the Russian Federation within a government project FSWM-2020-0038.

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