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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.

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Journal ArticleDOI

Bragg-Berry flat reflectors for transparent computer-generated holograms and waveguide holography with visible color playback capability.

TL;DR: A reflective computer-generated hologram that is completely transparent in the visible, based on the Berry (geometric) phase in a self-organizing Bragg reflector, which enable a new route to realize advanced optical elements with no apparent reflection in thevisible region.
Journal ArticleDOI

Hybrid method for speckle noise reduction in digital holography

TL;DR: A hybrid method for Speckle noise reduction is presented by combining a novel angular diversity approach with the block-matching and 3D filtering (BM3D) algorithm, and a nearly speckle-free image can be obtained.
Journal ArticleDOI

Low-light phase imaging using in-line digital holography and the transport of intensity equation

TL;DR: In this paper, the authors demonstrate low-light phase imaging by combining digital holography with the transport of intensity equation (TIE) to reconstruct the required multiple intensity distributions from the captured in-line digital hologram.
Journal ArticleDOI

Wirtinger gradient descent optimization for reducing Gaussian noise in lensless microscopy

TL;DR: A novel iterative algorithm that incorporates the Gaussian noise model in the Wirtinger gradient descent optimization process to perform phase retrieval in lensless microscopy and is able to obtain better reconstructions under low SNR conditions, in comparison with the traditional Gerchberg Saxton method.
Journal ArticleDOI

A refined denoising method for noisy phase-shifting interference fringe patterns

TL;DR: A Denoising method based on a refined pre-trained deep learning networks that can perform an automatic denoising for the noisy fringe patterns according to its type and the experimental results show that the proposed method achieves high efficiency.
References
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Book

A wavelet tour of signal processing

TL;DR: An introduction to a Transient World and an Approximation Tour of Wavelet Packet and Local Cosine Bases.
Journal ArticleDOI

Scale-space and edge detection using anisotropic diffusion

TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
Journal ArticleDOI

De-noising by soft-thresholding

TL;DR: The authors prove two results about this type of estimator that are unprecedented in several ways: with high probability f/spl circ/*/sub n/ is at least as smooth as f, in any of a wide variety of smoothness measures.
Journal ArticleDOI

Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

TL;DR: An algorithm based on an enhanced sparse representation in transform domain based on a specially developed collaborative Wiener filtering achieves state-of-the-art denoising performance in terms of both peak signal-to-noise ratio and subjective visual quality.
Proceedings ArticleDOI

A non-local algorithm for image denoising

TL;DR: A new measure, the method noise, is proposed, to evaluate and compare the performance of digital image denoising methods, and a new algorithm, the nonlocal means (NL-means), based on a nonlocal averaging of all pixels in the image is proposed.
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