Digital in-line particle holography: twin-image suppression using sparse blind source separation

Hattay, Jamel; Belaid, Samir; Lebrun, Denis; Naanaa, Wady

doi:10.1007/s11760-014-0646-3

Cited by 20 publications

(6 citation statements)

References 29 publications

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“…This proves to be a significant effort to avoid noise. As we use the in-line configuration, the ghost image from the DC term and conjugate image could have been suppressed by several methods [24,25]. However, the ghost image does not greatly affect droplet measurement in this work.…”

Section: Droplet Detection and Autofocusingmentioning

confidence: 99%

Characterization of atomization and breakup of acoustically levitated drops with digital holography

Yao

et al. 2014

Appl. Opt.

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A digital holographic particle tracking velocimetry system is applied to quantitatively study the drop atomization induced by capillary waves, and the breakup caused by increased sound pressure levels. A wavelet-based algorithm is used for particle detection and autofocusing with a wide size range of 20 μm-2 mm. To eliminate the influence of large particles on small particles, a two-step detection method is adopted. Large drops are first characterized and simulated by a diffraction-based model. Then the contributions of the drops are subtracted from the original hologram followed by the detection of small droplets. Finally, the velocity and size distribution of the secondary droplets are obtained from the experimental holograms. The results demonstrate the validity of the digital in-line holographic technique for the atomization and breakup study of acoustically levitated drops.

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Section: Droplet Detection and Autofocusingmentioning

confidence: 99%

Characterization of atomization and breakup of acoustically levitated drops with digital holography

Yao

et al. 2014

Appl. Opt.

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“…This is especially noticeable in reconstructed images of one or more closely spaced adjacent particles (Figure 4c). In this case, it is necessary to apply one of the methods [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] for suppressing the twin-image effect. This paper considers, as examples, a complex field amplitude reconstruction method based on the Gerchberg-Saxton algorithm [30] and a spatial-frequency method to identify the features, range of applicability, and efficiency of suppressing the twin-image effect.…”

Section: Methods For Suppressing the Twin-image Effectmentioning

confidence: 99%

“…At the same time, this may cause undesirable effects associated with the coherence of radiation-coherent noises in the reconstructed image related to the parameters of the medium with the analyzed particles, as well as to the twin-image effect of the studied particle [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. The latter appears due to the fact that the reconstruction of a real particle image from a hologram by illuminating it with a coherent wave (or numerical modeling of lighting in digital holography) leads to the simultaneous reconstruction of the virtual image of this particle.…”

Section: Introductionmentioning

confidence: 99%

Features of the Application of Coherent Noise Suppression Methods in the Digital Holography of Particles

et al. 2023

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The paper studies the influence of coherent noises on the quality of images of particles reconstructed from digital holograms. Standard indicators (for example, signal-to-noise ratio) and such indicators as the boundary contrast and boundary intensity jump previously proposed by the authors are used to quantify the image quality. With the use of these parameters, for examples of some known methods of suppressing coherent noises in a holographic image (eliminating the mutual influence of virtual and real images in in-line holography, and time averaging), the features and ranges of applicability of such correction were determined. It was shown that the use of the complex field amplitude reconstruction method based on the Gerchberg–Saxton algorithm and the spatial-frequency method improves the quality of determining the particle image boundary (by boundary intensity jump) starting from the distance between a hologram and a particle, which is about twice the Rayleigh distance. In physical experiments with model particles, averaging methods were studied to suppress non-stationary coherent noises (speckles). It was also shown that averaging over three digital holograms or over three holographic images is sufficient to provide a quality of particle image boundary suitable for particle recognition. In the case of multiple scattering, when it is necessary to impose a limit on the working volume length (depth of scene) of the holographic camera, the paper provides estimates that allow selecting the optimal working volume length. The estimates were made using the example of a submersible digital holographic camera for plankton studies.

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“…The registration of one digital hologram and its subsequent numerical processing make it possible to obtain focused images of each particle of the studied volume [11][12][13][14][15][16][17][18]. Despite the advantages of digital holography, noises and distortions of various origins occur in reconstructed images [19][20][21][22][23][24][25][26]. Thus, the choice of parameters for recording digital hologramsthe exposure time of a digital camera, the laser radiant power, and the laser pulse durationdepends on the quality of particle images reconstructed from digital holograms.…”

Section: Introductionmentioning

confidence: 99%

Automatic selection of digital hologram registration parameters

Davydova

Olshukov

Yudin

et al. 2022

28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

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The quality of particle images reconstructed from digital holograms depends on the choice of parameters for digital holograms recordingthe exposure time of a digital camera, the laser radiant power, and the laser pulse duration. The problem of automatically choosing the parameters for recording a digital hologram under conditions of a changing optical transmission of the aquatic medium while studying plankton in its habitat arises. Using the maximum of digital hologram contrast as a criterion for choosing the parameters for recording a digital hologram to obtain the best quality particles images reconstructed from a digital hologram is proposed.

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Digital in-line particle holography: twin-image suppression using sparse blind source separation

Cited by 20 publications

References 29 publications

Characterization of atomization and breakup of acoustically levitated drops with digital holography

Characterization of atomization and breakup of acoustically levitated drops with digital holography

Features of the Application of Coherent Noise Suppression Methods in the Digital Holography of Particles

Automatic selection of digital hologram registration parameters

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