2-dimensional signals restoration using autoregressive models

Author

Lopatka, Jerzy ; Bukowski, Radoslaw

Author_Institution

Commun. Syst. Inst., Mil. Univ. of Technol., Warsaw, Poland

Volume

2

fYear

2000

fDate

2000

Firstpage

715

Abstract

This paper presents the results of experiments concerning restoration of blurred 2-dimensional images. An iterative method of interfering signal elimination is proposed. The processing is performed in the complex signal domain using the block estimation method of autoregressive (AR) models, based on the least squares (LS) method. The paper presents also simulation results versus different environmental conditions

Keywords

autoregressive moving average processes; filtering theory; image restoration; iterative methods; least mean squares methods; parameter estimation; 2D signals restoration; AR models; ARMA filter; LS method; additive noise; autoregressive models; block estimation method; blurred 2D images; complex signal domain; environmental conditions; interfering signal elimination; iterative method; least squares method; multiprocessor platforms; simulation results; Deconvolution; Degradation; Filtering; Filtration; Image reconstruction; Image restoration; Iterative algorithms; Iterative methods; Signal processing; Signal restoration;

fLanguage

English

Publisher

ieee

Conference_Titel

MILCOM 2000. 21st Century Military Communications Conference Proceedings

Conference_Location

Los Angeles, CA

Print_ISBN

0-7803-6521-6

Type

conf

DOI

10.1109/MILCOM.2000.904022

Filename

904022