Abstract—In this research, we propose a computer simulation method to simulate degraded image by atmospheric turbulence according to different photographing distance. We use parameters measured from real time-series image data with 250-million-pixels. Target images for experiments are collected according to the distance of the subject, and the atmospheric fluctuation amount of each image is calculated. We confirm that the amount of atmospheric fluctuation increases with distance. From visual observation, it is confirmed that the simulation image distorted by atmospheric turbulence using our proposed method is quite similar to the real images.

Index Terms—Atmospheric turbulence, computer simulation, image distortion, 250 million pixel images.

Yinhao Li, Yutaro Iwamoto, Yen-Wei Chen are with Ritsumeikan University, Shiga, Japan.
Katsuhisa Ogawa is with Canon Incorporation, Kanagawa, Japan.

Cite:Yinhao Li, Yutaro Iwamoto, Katsuhisa Ogawa, Yen-Wei Chen, "Computer Simulation of Image Distortion by Atmospheric Turbulence Using Time-Series Image Data with 250-Million-Pixels," International Journal of Computer and Electrical Engineering vol. 10, no. 1, pp. 53-61, 2018.