scispace - formally typeset
Open AccessJournal ArticleDOI

Strategies for reducing speckle noise in digital holography

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

Content maybe subject to copyright    Report

Citations
More filters

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.
Journal ArticleDOI

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 .
Journal ArticleDOI

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
More filters
Journal ArticleDOI

Breakthroughs in Photonics 2013: Holographic Imaging

TL;DR: In this article, the most significant achievements reached in 2013 on holographic imaging are described and discussed in detail, and the authors describe shortly what appeared to them to be the most important achievements reached.
Proceedings ArticleDOI

Recent Advances in Digital Holography

TL;DR: In this article, selected applications of digital holography, e.g., reconstruction of 3D objects, microscopy, interferometry, etc., are discussed, with emphasis on recent work in the area, including multi-wavelength digital holographic, compressive sensing, and transport of intensity.
Journal ArticleDOI

Speckle noise reduction in digital holography by multiple holograms

TL;DR: Experimental results show that the proposed method does not require classical filtering technique and is simple and effective in reducing speckle noise in digital holography.
Journal ArticleDOI

Imaging adherent cells in the microfluidic channel hidden by flowing RBCs as occluding objects by a holographic method

TL;DR: It is demonstrated that ML-DH benefits from the presence of the RBCs, providing enhancement in terms of numerical resolution and noise suppression thus obtaining images whose quality is higher than the quality achievable in the case of a liquid without occlusive objects.
Journal ArticleDOI

Application of Digital Holography for Nondestructive Testing and Metrology: A Review

TL;DR: The basics of holography, holographic interferometry, and DH are presented, and examples from such diverse fields as deformation analysis, form determination, refractive index measurement, and wave front reconstruction by shearographic differential interference contrast microscopy are given.
Related Papers (5)