ADAPTIVE IMAGE-RESTORATION USING A GENERALIZED GAUSSIAN MODEL FOR UNKNOWN NOISE

Authors
PUN WH JEFFS BD
Citation
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
Citations number
11
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on image processing → ACNP
ISSN journal
10577149
Volume
4
Issue
10
Year of publication
1995
Pages
1451 - 1456
Database
ISI
SICI code
1057-7149(1995)4:10<1451:AIUAGG>2.0.ZU;2-Z
Abstract
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.