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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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Journal ArticleDOI

Theoretical analysis of surface-shape-induced decorrelation noise in multi-wavelength digital holography.

TL;DR: A novel expression for the modulus of the coherence factor is proposed for the case of two-wavelength speckle decorrelation from imaging roughness and surface shape through an optical system, which permits us to estimate the speckel decorrelation phase noise in surface shape measurements.
Journal ArticleDOI

Phase coherent noise reduction in digital holographic microscopy based on adaptive total variation

TL;DR: The proposed method can reduce the coherent noise of the phase image and preserve some details well and the experimental results demonstrated the effectiveness of the proposed method.
Journal ArticleDOI

Study on Quantitative Phase Imaging by Dual-Wavelength Digital Holography Microscopy

TL;DR: In this article, a dual-wavelength digital holographic microscopy with premagnification is proposed to obtain the object surface measurements over the large gradient, and the quantitative phase images of specimens are captured in high precision by the processing of filtering and phase compensation.
Journal ArticleDOI

Polychromatic digital holographic microscopy: a quasicoherent-noise-free imaging technique to explore the connectivity of living neuronal networks.

TL;DR: Polychromatic DHM (P-DHM), providing OPD images with drastically decreased coherent noise, represents a very promising label-free technique to study neuronal connectivity and its development, including neurite outgrowth, elongation, and branching.
Journal ArticleDOI

High-Resolution Angular Displacement Technology Based on Varying Moiré Figure Phase Positions

TL;DR: In this article, a novel angular displacement technology based on varying moire figure phase positions is proposed, which allows for reduced volume and high-resolution angle measurements in small-size gratings.
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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