A general formulation for iterative restoration methods

Author

Noonan, Joseph P. ; Natarajan, Premkumar

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Tufts Univ., Medford, MA, USA

Volume

45

Issue

10

fYear

1997

fDate

10/1/1997 12:00:00 AM

Firstpage

2590

Lastpage

2593

Abstract

Information theory-based techniques for signal or image restoration and resolution enhancement are now considered a viable alternative to other popular techniques. In this correspondence, we present a general iterative mapping derived using an information theoretic criterion of optimality. A mathematical structure is defined followed by an analysis of the mapping, based on this structure. The convergence of the mapping is considered both in the general formulation and for a particular example. Some popular techniques are shown to be special cases of this general mapping

Keywords

information theory; iterative methods; signal resolution; signal restoration; general formulation; general iterative mapping; image restoration; information theory-based techniques; iterative restoration methods; mathematical structure; optimality; resolution enhancement; signal restoration; Convergence; Degradation; Image resolution; Image restoration; Information theory; Iterative methods; Predistortion; Signal processing algorithms; Signal resolution; Signal restoration;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.640726

Filename

640726