Investigation on Restoration Method for Turbulence-degraded Image Using Bayes Theorem
基于贝叶斯理论的湍流退化图像复原方法研究

Restoration of atmospheric turbulence-degraded image is very important in the field of astronomical imaging and astroobservation.It needs to be solved as soon as possible.Solving this problem can deblur the atmospheric turbulence-degraded image and improve the capability of object identification which is good for late stage works such as object feature extraction and recognition.In order to restore the turbulence-degraded image efficiently,a single frame blind deconvolution image restoration algorithm with two circulations based on Bayes theorem is presented.Its fast implementation is studied and some experiments to analyze the stability are carried out.The experimental results show that the algorithm is capable of resisting-noise with robustness;especially it is more suitable for the situation without any prior knowledge.So the algorithm possesses practical value.