A weighted space restoration algorithm using the aperiodic model of deconvolution

Author

Mou-Yan, Zou ; Unbehauen, Rolf

Author_Institution

Lehrstuhl fur Allgemeine und Theor. Elektrotech., Erlangen-Nurnberg Univ., Germany

fYear

1995

fDate

9-10 Jun 1995

Firstpage

308

Lastpage

314

Abstract

The aperiodic matrix deconvolution model has been shown to have a better condition number than the popularly used circulant matrix model. In this paper, we illustrate that the restoration algorithms in a weighted space using the block circulant matrices can be modified into the aperiodic model based algorithms and we have more possibilities to reduce the computational cost for the modified algorithms. Examples are used to show the modified algorithm. We address that more interesting is the use of the model to develop some new algorithms, for example, for the unknown blur case

Keywords

deconvolution; image restoration; matrix algebra; medical image processing; aperiodic matrix deconvolution model; block circulant matrices; computational cost reduction; condition number; unknown blur case; weighted space restoration algorithm; Biomedical imaging; Computational efficiency; Computed tomography; Deconvolution; Equations; Image restoration; Instruments; Iterative algorithms; Signal processing algorithms; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 1995., Proceedings of the Eighth IEEE Symposium on

Conference_Location

Lubbock, TX

Print_ISBN

0-8186-7117-3

Type

conf

DOI

10.1109/CBMS.1995.465411

Filename

465411