On the use of discrete Laplacian operators in image restoration

Author

Leung, C.M. ; Lu, W.-S.

Author_Institution

Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada

fYear

1995

fDate

17-19 May 1995

Firstpage

411

Lastpage

415

Abstract

The role of the stabilizing functional in the Tikhonov (1964) regularization is as crucial as that of the regularization parameter. However, a 3×3 discrete differential operator is usually used to generate the stabilizing functional. It is demonstrated that the restoration quality is practically independent of the size of the generating stabilizing operator. As a result, the choice of small size of the generating stabilizing operator is justified. Moreover, this observation leads to the advantage that spatial-domain implemented filters can be designed within a reasonable small order

Keywords

Laplace equations; differential equations; filtering theory; functional equations; image restoration; stability; discrete Laplacian operators; discrete differential operator; generating stabilizing operator; image restoration; regularization parameter; restoration quality; spatial-domain filters; stabilizing functional; stabilizing operator; Additive white noise; Degradation; Discrete Fourier transforms; Filters; Frequency estimation; Image restoration; Laplace equations; Layout; Signal restoration; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-2553-2

Type

conf

DOI

10.1109/PACRIM.1995.519556

Filename

519556