Optimal regularized image restoration with constraints

Author

Reeves, Stanley J.

Author_Institution

Dept. of Electr. Eng., Auburn Univ., AL, USA

Volume

3

fYear

1992

fDate

23-26 Mar 1992

Firstpage

301

Abstract

A method for estimating the optimal degree of regularization in the presence of constraints on the restored image is presented. While regularization is a powerful method for obtaining satisfactory solutions to the image restoration problem, the optimal degree of regularization is seldom known ahead of time. Furthermore, the optimal degree of regularization changes when constraints are enforced in the restoration process. The generalized cross-validation criterion is modified to estimate the optimal degree of regularization in the presence of constraints on the solution. In addition, an efficient estimation procedure is used that makes it possible to evaluate the criterion with a computational complexity on the same order as the constrained restoration. The benefit of this procedure is demonstrated with examples

Keywords

computational complexity; constraint theory; image reconstruction; parameter estimation; computational complexity; constraints; estimation procedure; generalized cross-validation criterion; image restoration; optimal degree of regularization; Additive noise; Computational complexity; Degradation; Force control; Image restoration; Layout; Parameter estimation; Smoothing methods; Statistical analysis; Strain control;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226241

Filename

226241