Discrete quasi-eigenfunction approximation for AM-FM image analysis

Author

Havlicek, Joseph P. ; Harding, David S. ; Bovik, Alan C.

Author_Institution

Lab. for Vision Syst., Texas Univ., Austin, TX, USA

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

633

Abstract

We introduce a multidimensional quasi-eigenfunction approximation useful for characterizing and analyzing the responses of discrete linear systems to inputs modeled as AM-FM image functions. A new theorem is presented which provides a global bound on the approximation error. We demonstrate how the approximation may be used to develop discrete AM-FM demodulation algorithms, and show dramatic demodulation examples where the essential structure of natural images is captured using only a small number of AM-FM components

Keywords

amplitude modulation; approximation theory; demodulation; eigenvalues and eigenfunctions; error analysis; frequency modulation; image reconstruction; image representation; linear systems; AM-FM components; AM-FM image analysis; AM-FM image functions; approximation error; discrete AM-FM demodulation algorithms; discrete linear systems; discrete quasieigenfunction approximation; global bound; image reconstruction; image representation; natural image structure; theorem; Approximation algorithms; Approximation error; Demodulation; Filter bank; Filtering algorithms; Frequency estimation; Frequency modulation; Image analysis; Linear systems; Nonlinear filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559576

Filename

559576