ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Dynamic Speckle Analysis with Coarse Quantization of the Raw Data
Cited 9 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Elena Stoykova, Dimana Nazarova, Lian Nedelchev, Branimir Ivanov, Blaga Blagoeva, Kwan-Jung Oh, Joongki Park
Issue Date
2020-03
Citation
Applied Optics, v.59, no.9, pp.2810-2819
ISSN
1559-128X
Publisher
Optical Society of America (OSA)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1364/AO.384204
Abstract
Analysis of dynamic speckle formed on the surface of diffusely reflecting objects under laser illumination is a noncontact method for inspection of speed of processes. The paper deals with intensity-based implementation of the method that relies on statistical processing of correlated in time sequences of speckle images. A two-dimensional activity map is built for each sequence to visualize regions of different speed on the object surface at a given instant. A great number of images is required to track a process in time. We propose data compression by coarse quantization of the raw speckle data. Efficacy of quantization is analyzed by simulation and experiment for low- and high-contrast speckle patterns with bell-shaped and long-tailed distributions of intensity, respectively. Nonuniformquantization is proposed for long-tailed speckle intensity distributions.Decreasing the bit depth from8 to 4 causes no change in the probability density function of the activity estimate.
KSP Keywords
Activity map, Bit-depth, Coarse Quantization, Data analysis, Dynamic speckle, High contrast, Intensity distributions, Laser illumination, Long-tailed distributions, Probability Density Function, Simulation and experiment