Strategies for reducing speckle noise in digital holography

V Bianco, P Memmolo, M Leo, S Montresor… - Light: Science & …, 2018 - nature.com
Digital holography (DH) has emerged as one of the most effective coherent imaging
technologies. The technological developments of digital sensors and optical elements have …

[HTML][HTML] A review of the dual-wavelength technique for phase imaging and 3D topography

H Zhou, MMR Hussain, PP Banerjee - Light: Advanced Manufacturing, 2022 - light-am.com
Optically transmissive and reflective objects may have varying surface profiles, which
translate to arbitrary phase profiles for light either transmitted through or reflected from the …

[HTML][HTML] The state-of-the-art in computer generated holography for 3D display

D Blinder, T Birnbaum, T Ito… - Light: Advanced …, 2022 - light-am.com
Holographic displays have the promise to be the ultimate 3D display technology, able to
account for all visual cues. Recent advances in photonics and electronics gave rise to high …

Two-dimensional phase unwrap** based on U2-Net in complex noise environment

J Chen, Y Kong, D Zhang, Y Fu, S Zhuang - Optics Express, 2023 - opg.optica.org
This paper proposes applying the nested U^ 2-Net to a two-dimensional phase unwrap**
(PU). PU has been a classic well-posed problem since conventional PU methods are always …

Phase calibration unwrap** algorithm for phase data corrupted by strong decorrelation speckle noise

H ** in the presence of high noise remains an open issue. Especially,
when both noise and fringe densities are high, pre-filtering may lead to phase dislocations …

[HTML][HTML] Computational de-noising based on deep learning for phase data in digital holographic interferometry

S Montresor, M Tahon, A Laurent, P Picart - APL Photonics, 2020 - pubs.aip.org
This paper presents a deep-learning-based algorithm dedicated to the processing of
speckle noise in phase measurements in digital holographic interferometry. The deep …

Speckle denoising based on deep learning via a conditional generative adversarial network in digital holographic interferometry

Q Fang, H **a, Q Song, M Zhang, R Guo… - Optics …, 2022 - opg.optica.org
Speckle denoising can improve digital holographic interferometry phase measurements but
may affect experimental accuracy. A deep-learning-based speckle denoising algorithm is …

[HTML][HTML] Towards reduced CNNs for de-noising phase images corrupted with speckle noise

M Tahon, S Montresor, P Picart - Photonics, 2021 - mdpi.com
Digital holography is a very efficient technique for 3D imaging and the characterization of
changes at the surfaces of objects. However, during the process of holographic …

Recent advances and applications of digital holography in multiphase reactive/nonreactive flows: a review

J Huang, W Cai, Y Wu, X Wu - Measurement Science and …, 2021 - iopscience.iop.org
In various multiphase flows, the characterization of particle dynamics is important in the
understanding of the interaction between particles and the surrounding flows. Digital …

Deep learning-based wrapped phase denoising method for application in digital holographic speckle pattern interferometry

K Yan, L Chang, M Andrianakis, V Tornari, Y Yu - Applied Sciences, 2020 - mdpi.com
This paper presents a new processing method for denoising interferograms obtained by
digital holographic speckle pattern interferometry (DHSPI) to serve in the structural …