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
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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
Chao Zuo,Jiaming Qian,Shijie Feng,Wei Yin,Yixuan Li,Pengfei Fan,Jing Han,Kemao Qian,Qian Chen +8 more
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
Chao Zuo,Jiaming Qian,Shijie Feng,Wei Yin,Yixuan Li,Pengfei Fan,Jing Han,Kemao Qian,Qian Chen +8 more
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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Imaging blood cells through scattering biological tissue using speckle scanning microscopy
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References
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High-speed holographic metrology: principle, limitations, and application to vibroacoustics of structures
Julien Poittevin,François Gautier,François Gautier,Charles Pezerat,Charles Pezerat,Pascal Picart,Pascal Picart +6 more
TL;DR: In this article, the basics of high-speed holographic metrology, its limitations, and its application to the investigation of traveling acoustic waves propagating in mechanical structures are described.
Coherent Light Microscopy Imaging And Quantitative Phase Analysis
TL;DR: People have search hundreds of times for their favorite books like this coherent light microscopy imaging and quantitative phase analysis, but end up in infectious downloads.
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Refocus criterion based on maximization of the coherence factor in digital three-wavelength holographic interferometry.
TL;DR: Experimental results show the suitability of the proposed approach for image plane refocusing and a theoretical relation to estimate the coherence factor from the measured standard deviation is proposed.
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Digital color holographic recording and reconstruction using synthetic aperture and multiple reference waves
TL;DR: In this article, a method for recording and reconstructing high-quality digital color holographic images is presented, where the synthetic aperture technique is used to improve the resolution of the reconstructed image and also reduce the speckle size in the reconstruction plane.
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Efficient speckle reduction for a laser illuminating on a micro-vibrated paper screen
TL;DR: An efficient speckle reduction method for laser illumination using a micro-vibrated paper screen along the projection direction is demonstrated, suitable for compact and portable laser illumination equipment, image display, signal sensing devices, and so forth.