
Proceedings Paper
Using Monte-Carlo method for evaluating the imaging through a disturbed medium with random distributionFormat | Member Price | Non-Member Price |
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Paper Abstract
The image is blurred and shaken when the object through a flow with random refractive index distribution. As the
response time of the image detector is far longer than that of the random disturbance, what the detector actually detects
is an integral picture within the response time. Therefore, researches on the mean image quality within the detector's
response time are great helpful to image recovering and correction.In this paper, Monte Carlo method is used to
simulate the time-related random fluctuation of the inhomogeneous medium, which can be treated statistically.
According to the mean value and variance of the refractive index at each position within the random medium during
detector's response time, many sample refractive distributions are generated to describe the disturbance with time. And
then, ray trace through the generated medium with different refractive index distribution is made, and the spot diagram
at each sample medium is summed up as the final result. Finally, taking the flowing liquid as an example, we obtained
the spot diagram through a medium with disturbance, and made a comparison with that through a medium with the
mean refractive distribution.
Paper Details
Date Published: 28 November 2007
PDF: 7 pages
Proc. SPIE 6834, Optical Design and Testing III, 68341C (28 November 2007); doi: 10.1117/12.755831
Published in SPIE Proceedings Vol. 6834:
Optical Design and Testing III
Yongtian Wang; Theo T. Tschudi; Jannick P. Rolland; Kimio Tatsuno, Editor(s)
PDF: 7 pages
Proc. SPIE 6834, Optical Design and Testing III, 68341C (28 November 2007); doi: 10.1117/12.755831
Show Author Affiliations
Zhaofeng Cen, Zhejiang Univ. (China)
Shitao Deng, Zhejiang Univ. (China)
Shitao Deng, Zhejiang Univ. (China)
Published in SPIE Proceedings Vol. 6834:
Optical Design and Testing III
Yongtian Wang; Theo T. Tschudi; Jannick P. Rolland; Kimio Tatsuno, Editor(s)
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