A fast multichannel approach to adaptive image estimation

Author

Boutalis, Yannis S. ; Kollias, Stefanos D. ; Carayannis, George

Author_Institution

Dept. of Electr. Eng., Nat. Tech. Univ. of Athens, Greece

Volume

37

Issue

7

fYear

1989

fDate

7/1/1989 12:00:00 AM

Firstpage

1090

Lastpage

1098

Abstract

A computationally efficient method for adaptive image estimation is developed, based on the multichannel form of the one-dimensional fast least-squares algorithms. Extended forms of various two-dimensional autoregressive image models are derived and used for this purpose. It is shown that the method, named the fast multichannel space recursive estimation technique (FAMSRET), can overcome image boundary discontinuity problems by processing consecutive image lines in opposite directions. Two-dimensional instrumental variables are introduced and used by the FAMSRET algorithm for the efficient estimation of images, which are degraded by additive white noise. Examples are given that illustrate the performance of the proposed techniques

Keywords

adaptive systems; picture processing; FAMSRET; adaptive image estimation; autoregressive image models; boundary discontinuity; fast multichannel approach; least-squares algorithms; recursive estimation; Adaptive estimation; Computational complexity; Degradation; Gaussian noise; Instruments; Least squares approximation; Least squares methods; Mathematical model; Pixel; Recursive estimation;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/29.32285

Filename

32285