Abstract
Restoration of atmospheric turbulence degraded image is needed to be solved as soon as possible in the field of
astronomical space technology. Owing to the fact that the point spread function of turbulence is unknown, changeable
with time, hard to be described by mathematics models, withal, kinds of noises would be brought during the imaging
processes (such as sensor noise), the image for space target is edge blurred and heavy noised, which making a single
restoration algorithm to reach the requirement of restoration difficult. Focusing the fact that the image for space target
which was fetched during observation by ground-based optical telescopes is heavy noisy turbulence degraded, this paper
discusses the adjustment and reformation of various algorithm structures as well as the selection of various parameters,
after the combination of the nonlinear filter algorithm based on noise spatial characteristics, restoration algorithm of
heavy turbulence degrade image for space target based on regularization, and the statistics theory based EM restoration
algorithm. In order to test the validity of the algorithm, a series of restoration experiments are performed on the heavy
noisy turbulence-degraded images for space target. The experiment results show that the new compound algorithm can
achieve noise restriction and detail preservation simultaneously, which is effective and practical. Withal, the definition
measures and relative definition measures show that the new compound algorithm is better than the traditional
algorithms.
