Image restoration in astronomy -: A Bayesian perspective

The most widely used methods for image restoration in otpical astronomy are described by concentrating on image and noise models. The statistical estimation methods used in the astronomy are the maximum likelihood method (MLE), the maximum entropy (ME) and the Bayesian method. The Bayesian target function and the likelihood are related through Bayes rule, which includes the probability distribution of the image. The modeling of the observation model is divided into blurring function and noise modeling. The image models used to restore the images were also examined.