scholarly journals Dynamic Speckle Holography

2021 ◽  
Vol 127 (8) ◽  
Author(s):  
S. Aime ◽  
M. Sabato ◽  
L. Xiao ◽  
D. A. Weitz
Keyword(s):  
Dynamic Speckle ◽  
Speckle Holography

scholarly journals Dynamic Speckle Illumination Digital Holographic Microscopy by Doubly Scattered System

Photonics ◽  
2021 ◽  
Vol 8 (7) ◽  
pp. 276
Author(s):  
Yun Liu ◽  
Peihua Bu ◽  
Mingxing Jiao ◽  
Junhong Xing ◽  
Ke Kou ◽  
...  
Keyword(s):  
Time Correlation ◽  
Digital Holographic Microscopy ◽  
Laser Source ◽  
Speckle Reduction ◽  
Single Shot ◽  
Coherent Noise ◽  
Real Time Measurement ◽  
Dynamic Speckle ◽  
Holographic Microscopy ◽  
Speckle Suppression

The coherent noise always exists in digital holographic microscopy due to the laser source, degrading the image quality. A method of speckle suppression using the dynamic speckle illumination, produced by double-moving diffusers, is presented in digital holographic microscopy. The space–time correlation functions are theoretically analyzed from the statistics distribution in the doubly and singly scattered system, respectively. The configuration of double-moving diffusers is demonstrated to have better performance in speckle suppression compared with the single diffuser and moving-static double diffusers cases. The experiment results verify the feasibility of the approach. The presented approach only requires a single shot interferogram to realize the speckle reduction, accordingly it has the potential application in real-time measurement.

scholarly journals Dynamic speckle multiplexing scheme in volume holographic data storage and its realization

2003 ◽  
Vol 11 (4) ◽  
pp. 366 ◽  
Author(s):  
Qingsheng He ◽  
Jinnan Wang ◽  
Jiangang Wang ◽  
Minxian Woo ◽  
Guofan Jin
Keyword(s):  
Data Storage ◽  
Holographic Data Storage ◽  
Dynamic Speckle ◽  
Volume Holographic Data Storage

Speckle Holography

1974 ◽  
Vol 21 (3) ◽  
pp. 243-254 ◽  
Author(s):  
P.T. Gough ◽  
R.H.T. Bates
Keyword(s):  
Speckle Holography

CHARACTERIZING DYNAMIC SPECKLE TIME SERIES WITH THE HURST COEFFICIENT CONCEPT

Fractals ◽  
2004 ◽  
Vol 12 (03) ◽  
pp. 319-329 ◽  
Author(s):  
L. I. PASSONI ◽  
H. RABAL ◽  
C. M. ARIZMENDI
Keyword(s):  
Speckle Pattern ◽  
Time History ◽  
Speckle Interferometry ◽  
Active Materials ◽  
Laser Illumination ◽  
Corn Seed ◽  
Dynamic Speckle ◽  
Hurst Coefficient ◽  
History Of ◽  
Living Tissues

We propose in this work a dynamic speckle descriptor based on a Hurst wavelet estimator. The dynamic speckle or biospeckle is a phenomenon produced by laser illumination of active materials, such as biological tissue or the drying process of paint. Dynamic speckle interferometry is a useful technique for assessing the time evolution of surfaces as also to segment the loci of different activity in living tissues. Considering previous biospeckle characterization based on the autocorrelation function and its relation with the Hurst coefficient, a wavelet-based estimator is proposed as a feature extraction of the dynamic speckle characteristic. Encouraging results of the descriptor performance are obtained via three different experiments: a time history of speckle pattern applied to the drying of painting, segmenting regions in whole field image applied to the viability test of a corn seed and also to the bruising in fruits.

Dynamic speckle processing using wavelets based entropy

2005 ◽  
Vol 246 (1-3) ◽  
pp. 219-228 ◽  
Author(s):  
I. Passoni ◽  
A. Dai Pra ◽  
H. Rabal ◽  
M. Trivi ◽  
R. Arizaga
Keyword(s):  
Dynamic Speckle

A numerical model for dynamic speckle and its application to the analysis of temporally evolving processes

2006 ◽  
Author(s):  
Héctor Rabal ◽  
Marcelo Trivi ◽  
Ricardo Arizaga ◽  
Alejandro Federico ◽  
Gustavo E. Galizzi ◽  
...  
Keyword(s):  
Numerical Model ◽  
Dynamic Speckle

scholarly journals Normalization in dynamic speckle analysis for non-destructive monitoring of speed of processes

2021 ◽  
Vol 2091 (1) ◽  
pp. 012002
Author(s):  
Elena Stoykova ◽  
Dimana Nazarova ◽  
Lian Nedelchev ◽  
Mikhail Levchenko ◽  
Nataliya Berberova-Buhova ◽  
...  
Keyword(s):  
Experimental Data ◽  
Mean Value ◽  
High Contrast ◽  
Object Surface ◽  
Laser Illumination ◽  
Dynamic Speckle ◽  
The Mean ◽  
Spatially Varying ◽  
Non Destructive

Abstract The paper is dedicated to analysis of normalized intensity-based pointwise algorithms for processing dynamic speckle images with spatially varying speckle statistics in non-destructive visualization of regions of faster or slower changes across an object. Both existing and newly proposed algorithms are analyzed. Extraction of speed of changes is done by acquiring correlated in time speckle images formed on the object surface under laser illumination. The studied algorithms have been applied to simulated low and high contrast speckle data. Their performance has been compared to processing of binary patterns as another approach for dealing with varying speckle statistics in the acquired images. The efficiency of the algorithms have been checked on the experimental data, including data in a compressed format. We have proven that the algorithms with normalization at successive instants by a sum of two intensities or a single intensity outperform as a whole the algorithms which apply the time-averaged estimates of the mean value and the variance of speckle intensity.

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