Analysis and recovery of multidimensional signals from irregular samples using non-linear and iterative techniques

Author

Marvasti, Farokh A. ; Liu, Chuande ; Adams, Gil

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA

Volume

5

fYear

1992

fDate

10-13 May 1992

Firstpage

2445

Abstract

A recurring problem is considered in signal processing which is reconstruction based upon imperfect information. The authors describe two methods. The first one is a simple nonlinear method, based upon spectral analysis, for reconstructing two-dimensional (2-D) band-limited signals from nonuniform samples. The second method is an iterative technique. By using an intelligent initial condition, faster convergence can be obtained by a simple successive approximation. The feasibility of this procedure was demonstrated through examples of color image restoration when some of the pixels are lost

Keywords

image reconstruction; iterative methods; spectral analysis; 2D signals; band-limited signals; color image restoration; convergence; imperfect information; irregular samples; iterative techniques; multidimensional signals; nonlinear method; reconstruction; signal processing; spectral analysis; successive approximation; Color; Convergence; Image reconstruction; Image restoration; Iterative methods; Multidimensional signal processing; Multidimensional systems; Signal analysis; Spectral analysis; Two dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0593-0

Type

conf

DOI

10.1109/ISCAS.1992.230522

Filename

230522