Paper
22 October 1993 Systolic implementation of a bidimensional lattice filter bank for multiresolution image coding
P. Desneux, Jean-Didier Legat, Benoit M. M. Macq, J. Y. Mertes
Author Affiliations +
Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157986
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
P. Desneux, Jean-Didier Legat, Benoit M. M. Macq, and J. Y. Mertes "Systolic implementation of a bidimensional lattice filter bank for multiresolution image coding", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157986
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KEYWORDS
Quantization

Transform theory

Image compression

Optical filters

Linear filtering

Filtering (signal processing)

Chemical elements

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