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Strategies for reducing speckle noise in digital holography

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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.

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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.
Journal ArticleDOI

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

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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Deep learning in optical metrology: a review

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 .
Posted Content

Imaging blood cells through scattering biological tissue using speckle scanning microscopy

TL;DR: Clear images of multiple cells were obtained with subcellular resolution and good image fidelity, provided that the object dimension was smaller than the maximum scanning range of the speckle pattern.
References
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Journal ArticleDOI

Digital Holography at Shot Noise Level

TL;DR: In this paper, the theoretical shot noise limit was studied and it was shown that it corresponds to 1 photo-electron per pixel within the whole frame sequence that is used to reconstruct the holographic image.
Journal ArticleDOI

Comparative analysis on some filters for wrapped phase maps.

TL;DR: The analysis shows that principles of the RPT, MPLS, WFR, and ACF are equivalent and the SCAF also leads to the WFR by some extension, which elegantly unifies all these methods for filtering unwrapped phase maps.
Journal ArticleDOI

Quantization noise and its reduction in lensless Fourier digital holography

TL;DR: It is shown that high-quality images can be obtained from binary holograms when speckle reduction is performed, and it is shown how the resultant noise in the reconstructed image, as well as theSpeckle that is inherent in digital holography, can be conveniently suppressed by standard speckles reduction techniques.
Journal ArticleDOI

Clear coherent imaging in turbid microfluidics by multiple holographic acquisitions

TL;DR: This Letter exploits the Brownian motion of the colloidal particles to get multiple uncorrelated holograms, and combines them to reduce the speckle contrast, to get a multi-look gain without losing image resolution.
Book

Biomedical optical phase microscopy and nanoscopy

TL;DR: In this article, the authors provide a comprehensive overview of the principles and techniques of optical phase microscopy and nanoscopy with biomedical applications, including tips/advice on building systems and working with advanced imaging biomedical techniques, including interpretation of phase images.
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