Use of a pyramidal and polynomial transform for image sequence coding

Author

García-Ugalde, F. ; Labit, C. ; Nzomigni, V.

Author_Institution

IRISA/INRIA, Rennes, France

Volume

3

fYear

1992

fDate

23-26 Mar 1992

Firstpage

513

Abstract

An polynomial transform is used to decompose frames of an image sequence. For this purpose, a multiresolution expansion of images is constructed. The coefficients of the expansion form a pyramidal or hierarchical polynomial transform covering the frequency domain in octave bands. How image sequences are coded by a pel-recursive modified Wiener based motion estimation algorithm, applied to the multiresolution representation using a multigrid-multiconstraint scheme, is described. Simulation results show sequences reconstructed with broadcast quality

Keywords

image coding; image sequences; motion estimation; polynomials; transforms; Hermite transform; Wiener based motion estimation algorithm; broadcast quality; frame decomposition; frequency domain; image sequence coding; multigrid-multiconstraint scheme; multiresolution expansion of images; octave bands; pel-recursive algorithm; polynomial transform; pyramidal transform; Discrete transforms; Frequency domain analysis; Image coding; Image reconstruction; Image resolution; Image sequences; Motion estimation; Polynomials; Signal resolution; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226163

Filename

226163