DocumentCode :
1264819
Title :
A VLSI architecture for lifting-based forward and inverse wavelet transform
Author :
Andra, Kishore ; Chakrabarti, Chaitali ; Acharya, Tinku
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Volume :
50
Issue :
4
fYear :
2002
fDate :
4/1/2002 12:00:00 AM
Firstpage :
966
Lastpage :
977
Abstract :
We propose an architecture that performs the forward and inverse discrete wavelet transform (DWT) using a lifting-based scheme for the set of seven filters proposed in JPEG2000. The architecture consists of two row processors, two column processors, and two memory modules. Each processor contains two adders, one multiplier, and one shifter. The precision of the multipliers and adders has been determined using extensive simulation. Each memory module consists of four banks in order to support the high computational bandwidth. The architecture has been designed to generate an output every cycle for the JPEG2000 default filters. The schedules have been generated by hand and the corresponding timings listed. Finally, the architecture has been implemented in behavioral VHDL. The estimated area of the proposed architecture in 0.18-μ technology is 2.8 nun square, and the estimated frequency of operation is 200 MHz
Keywords :
VLSI; channel bank filters; circuit CAD; digital signal processing chips; discrete wavelet transforms; hardware description languages; image coding; integrated circuit design; inverse problems; transform coding; 0.18 micron; 200 MHz; JPEG2000 default filters; VLSI architecture; adders; bandwidth; behavioral VHDL; column processors; discrete wavelet transform; filter bank; lifting-based forward wavelet transform; lifting-based inverse wavelet transform; memory modules; multiplier precision; row processors; shifter; simulation; Bandwidth; Computational modeling; Computer architecture; Discrete wavelet transforms; Filters; Frequency estimation; Image coding; Matrix converters; Very large scale integration; Wavelet transforms;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.992147
Filename :
992147
Link To Document :
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