Strategies for reducing speckle noise in digital holography
Vittorio Bianco,Pasquale Memmolo,Marco Leo,Silvio Montresor,Cosimo Distante,Melania Paturzo,Pascal Picart,Bahram Javidi,Pietro Ferraro +8 more
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TLDR
A broad discussion about the noise issue in DH is provided, with the aim of covering the best-performing noise reduction approaches that have been proposed so far and quantitative comparisons among these approaches will be presented.Abstract:
Digital holography (DH) has emerged as one of the most effective coherent imaging technologies. The technological developments of digital sensors and optical elements have made DH the primary approach in several research fields, from quantitative phase imaging to optical metrology and 3D display technologies, to name a few. Like many other digital imaging techniques, DH must cope with the issue of speckle artifacts, due to the coherent nature of the required light sources. Despite the complexity of the recently proposed de-speckling methods, many have not yet attained the required level of effectiveness. That is, a universal denoising strategy for completely suppressing holographic noise has not yet been established. Thus the removal of speckle noise from holographic images represents a bottleneck for the entire optics and photonics scientific community. This review article provides a broad discussion about the noise issue in DH, with the aim of covering the best-performing noise reduction approaches that have been proposed so far. Quantitative comparisons among these approaches will be presented.read more
Citations
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Three-Dimensional Imaging and ProcessingUsing Computational Holographic Imaging
TL;DR: Digital holography is a technique that permits digital capture of holograms and subsequent processing on a digital computer as mentioned in this paper, and various applications of this technique cover three-dimensional (3-D) imaging as well as several problems.
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Deep learning in holography and coherent imaging.
TL;DR: In a discussion of the topic, Yair Rivenson, Yichen Wu, and Aydogan Ozcan explain how once “trained” with appropriate datasets, neural networks can learn to reconstruct images with added benefits such as improved phase recovery and extended depth of field as well as enhanced spatial resolution and superior signal-to-noise ratio.
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Deep learning in optical metrology: a review
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TL;DR: Deep learning-enabled optical metrology is a kind of data-driven approach, which has already provided numerous alternative solutions to many challenging problems in this field with better performances as discussed by the authors .
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TL;DR: Deep learning-enabled optical metrology is a kind of data-driven approach, which has already provided numerous alternative solutions to many challenging problems in this field with better performances as discussed by the authors .
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References
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Journal ArticleDOI
Compressive Fresnel holography approach for high-resolution viewpoint inference.
TL;DR: High-resolution viewpoint object inference is demonstrated by formulating the object's reconstruction in the framework of compressive sensing by proposing a digital resampling diversityCompressive sensing approach to reconstruct a high-quality viewpoint inferred object.
Journal ArticleDOI
Automatic Frames Extraction and Visualization From Noisy Fringe Sequences for Data Recovering in a Portable Digital Speckle Pattern Interferometer for NDI
Pasquale Memmolo,Giovanni Arena,Giancarlo Fatigati,Mariangela Grilli,Melania Paturzo,Luca Pezzati,Pietro Ferraro +6 more
TL;DR: A PC-based method based on jointly analysis of spectral content and fringe image sharpness as selection rules was developed, that allowed for evaluating the whole structure deformations, caused by environmental thermo-hygrometric fluctuations.
Journal ArticleDOI
Very efficient speckle suppression in the entire visible range by one two-sided diffractive optical element
Anatoliy Lapchuk,Genadzi Pashkevich,Olexandr Prygun,I. V. Kosyak,Minglei Fu,Zichun Le,A. A. Kryuchyn +6 more
TL;DR: In this paper, the impact of the precision and direction of motion of a two-dimensional (2D) diffractive optical element (DOE) based on binary pseudo-random sequences on speckle suppression efficiency is investigated experimentally.
Journal ArticleDOI
Experimental and theoretical investigation of the pixel saturation effect in digital holography
TL;DR: In this article, an experimental investigation and an analytical modeling of the nonlinear pixel saturation effect in digital off-axis holography was performed and an exponential law for the high-order harmonic amplitude was proposed and validated by the experimental results.
Journal ArticleDOI
Automatic Digital Hologram Denoising by Spatiotemporal Analysis of Pixel-Wise Statistics
Marco Leo,Cosimo Distante,Melania Paturzo,Pasquale Memmolo,Massimiliano Locatelli,E. Pugliese,Riccardo Meucci,Pietro Ferraro +7 more
TL;DR: The proposed approach to reduce the noise in a reconstructed hologram image not only takes into account spatial information but also temporal statistics associated with the pixels, which gives better both visual and quantitative results.