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28 November 2007 Using Monte-Carlo method for evaluating the imaging through a disturbed medium with random distribution
Qiangsheng Liu, Xiaotong Li, Zhaofeng Cen, Shitao Deng
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Proceedings Volume 6834, Optical Design and Testing III; 68341C (2007) https://doi.org/10.1117/12.755831
Event: Photonics Asia 2007, 2007, Beijing, China
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.
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Qiangsheng Liu, Xiaotong Li, Zhaofeng Cen, and Shitao Deng "Using Monte-Carlo method for evaluating the imaging through a disturbed medium with random distribution", Proc. SPIE 6834, Optical Design and Testing III, 68341C (28 November 2007); https://doi.org/10.1117/12.755831
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KEYWORDS
Refractive index
Monte Carlo methods
Sensors
Image quality
Ray tracing
Image restoration
Image sensors
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