Research on image restoration algorithm for atmospheric turbulence degradation based on serial images
Zijian He, Weiliang Chai, Wei Zhang, Jun Luo · 2020
In the field of space measurement and control, photoelectric theodolites are an important part of optical measurement system. They are mainly responsible for acquiring flight images of targets. Through processing the acquired images,we get the targets' flight data. Therefore, the image quality affects the measurement accuracy of photoelectric theodolites. However, when acquiring nearground targets, they are susceptible to atmospheric turbulence, which can lead to image distortion. For this reason, the degraded image restoration algorithm affected by atmospheric turbulence is studied. In this paper, highspeed cameras of optical devices are used to obtain high-frequency images. Reference images are obtained by averaging the serial images. At last the affected images are restored by the reference images with Demons algorithm. The result shows thatDemons algorithm significantly reduces the impact of atmospheric turbulence and improves the image quality.