ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Dynamic Speckle Analysis with Coarse Quantization of the Raw Data
Cited 9 time in scopus Download 3 time Share share facebook twitter linkedin kakaostory
저자
Elena Stoykova, Dimana Nazarova, Lian Nedelchev, Branimir Ivanov, Blaga Blagoeva, 오관정, 박중기
발행일
202003
출처
Applied Optics, v.59 no.9, pp.2810-2819
ISSN
1559-128X
출판사
Optical Society of America (OSA)
DOI
https://dx.doi.org/10.1364/AO.384204
협약과제
20HH2600, [전문연구실] 홀로그램 영상 서비스를 위한 Holo-TV 핵심 기술 개발, 박중기
초록
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 제안 키워드
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