Regularization theory in image restoration. The regularizing operator approach.

Details Regularization theory in image restoration. The regularizing operator approach. Regularization theory in image restoration. The regularizing operator approach.

Jul 1989

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1989opten..28..761k&link_type=abstract

Opt. Eng., Vol. 28, No. 7, p. 761 - 780

Statistics

Applications

1

Image Restoration

Scientific paper

This paper presents the application of the regularizing operator (RO) approach in discrete image restoration. This is accomplished by extending the applicability of the RO approach to discrete inverse problems. The concept of the RO is initially presented, and the necessary condition for any operator to be considered as an RO is proposed. On the basis of this condition, a complete mathematical framework for the formation of specific ROs is developed. It is then shown that several operators already known in the literature, including those based on constrained least squares and parametric projection filters, can be considered as special applications of the concept of the RO. On the basis of a new optimality criterion introduced for image restoration, a new class of ROs is then proposed.

Affiliated with

Also associated with

No associations

Rating

Regularization theory in image restoration. The regularizing operator approach. does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Regularization theory in image restoration. The regularizing operator approach., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Regularization theory in image restoration. The regularizing operator approach. will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1708539