Share Email Print
cover

Proceedings Paper

Systolic implementation of a bidimensional lattice filter bank for multiresolution image coding
Author(s): P. Desneux; Jean-Didier Legat; Benoit M. M. Macq; J. Y. Mertes
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, we present systolic architecture based on the lattice structure of filters. The main characteristic of this architecture is the systolism: computations are pipelined in many identical locally interconnected processing elements (PEs). These PEs are simple and can reach high frequency clock while working at any time of the process. So, the speed of the circuit can be increased. The implementation of the filters, through VLSI techniques, is facilitated by the repetitive nature of the elements. In section 2, we describe the multiresolution scheme and the lattice structures. If the lattice structure appears as an efficient remedy for the finite length of the multipliers, special attention has to be kept on the computation noise which appears when the datapath is limited to some finite width. The goal of the so-related study consists in keeping this computation noise below the quantization noise (coming from the quantizers) at a reasonable cost. In section 3, we present the basic processing element and its use among the different stages of the filter. Section 4 deals with the finite representation of the data throughout the datapath.

Paper Details

Date Published: 22 October 1993
PDF: 8 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157986
Show Author Affiliations
P. Desneux, Univ. Catholique de Louvain (Belgium)
Jean-Didier Legat, Univ. Catholique de Louvain (Belgium)
Benoit M. M. Macq, Univ. Catholique de Louvain (Belgium)
J. Y. Mertes, Univ. Catholique de Louvain (Belgium)


Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

© SPIE. Terms of Use
Back to Top