Wh. Pun et Bd. Jeffs, ADAPTIVE IMAGE-RESTORATION USING A GENERALIZED GAUSSIAN MODEL FOR UNKNOWN NOISE, IEEE transactions on image processing, 4(10), 1995, pp. 1451-1456
A model adaptive method is proposed for restorating blurred and noise
corrupted images. The generalized p-Gaussian family of probability den
sity functions is used as the approximating parametric noise model. Di
stribution shape parameters are estimated from the image, and the resu
lting maximum likelihood optimization problem is solved, An iterative
algorithm for data directed restoration is presented and analyzed.