Estimation of point spread function for long-exposure atmospheric turbulence-degraded images

The image quality will be remarkably declined by the atmosphere turbulence in the optical system. The farther the distance, the longer exposure time, the more serious atmospheric disturbance, then the more blurred images. It is able to restore the blurred images by utilizing the spread function of the atmosphere-turbulence degradation, but it is hard to obtain its accurate form of the natural atmosphere turbulence. According to the research background, in this paper an approximate isosceles triangle model was proposed to approach the accurate point spread function of the long-exposure atmospheric turbulence-degraded image, then a Wiener filter was designed to restore the blurred images. Numerical experiments show that the restore method is validated tentatively for the long-exposure atmospheric turbulence-degraded natural images with the large field of view and long distance. The effectiveness of the method is proven further by evaluating the restored images with the gray mean grads and the Laplacian sum standards.