Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226163