Hardware implementation of a wavelet based image compression coder

Author

Singh, J. ; Antoniou, A. ; Shpak, D.J.

Author_Institution

Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada

fYear

1998

fDate

5-6 Jun 1998

Firstpage

169

Lastpage

173

Abstract

A VLSI architecture designed to perform real-time image compression using wavelets is described. The two basic modules of the architecture are a 2-D wavelet transform generator and a coder based on the SPIHT algorithm for lossy image compression. A folded architecture is proposed for computing the 2-D wavelet transform. The architecture uses 3 parallel computational units and 2 storage units. The hardware for the SPIHT coder uses 2 content addressable memories and 3 random access memories. The designs are modular and can easily be extended for different levels of wavelet decomposition and filter lengths. The derived architecture has been functionally verified for an 8×8 image size by simulating its VHDL code using Mentor Graphics

Keywords

VLSI; band-pass filters; content-addressable storage; data compression; digital filters; digital signal processing chips; image coding; modules; parallel architectures; random-access storage; transform coding; wavelet transforms; 2D wavelet transform generator; Mentor Graphics; RAM; SPIHT algorithm; SPIHT coder; VHDL code simulation; VLSI architecture; content addressable memories; filter bank; filter lengths; folded architecture; hardware implementation; image size; lossy image compression; modular design; parallel computational units; random access memories; real-time image compression; storage units; wavelet based image compression coder; wavelet decomposition; Associative memory; Computer architecture; Concurrent computing; Filters; Graphics; Hardware; Image coding; Random access memory; Very large scale integration; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Digital Filtering and Signal Processing, 1998 IEEE Symposium on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-4957-1

Type

conf

DOI

10.1109/ADFSP.1998.685718

Filename

685718