DocumentCode :
2670663
Title :
A VLSI architecture for lifting-based wavelet transform
Author :
Andra, Kishore ; Chakrabarti, Chaitali ; Acharya, Tinku
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
fYear :
2000
fDate :
2000
Firstpage :
70
Lastpage :
79
Abstract :
The discrete wavelet transform (DWT) is the basis for many image compression techniques, such as the upcoming JEPG2000. Lifting-based DWT requires fewer computations compared to the traditional convolution-based approach. In this paper, we propose a VLSI architecture to compute lifting-based 2D DWT, for a set of seven filters recommended in the JPEG2000 verification model. The architecture produces transform coefficients in every clock cycle for three of the filters and in every alternate cycle for the rest of the filters. We also present an efficient memory organization to address the high memory bandwidth requirements. The performance metrics of the proposed architecture have also been furnished
Keywords :
VLSI; data compression; digital signal processing chips; discrete wavelet transforms; image coding; transform coding; DWT; JPEG2000 verification model; VLSI architecture; clock cycle; discrete wavelet transform; efficient memory organization; filters; high memory bandwidth requirements; image compression; lifting-based 2D DWT; lifting-based wavelet transform; performance metrics; transform coefficients; Bandwidth; Clocks; Computer architecture; Discrete wavelet transforms; Filters; Image coding; Measurement; Transform coding; Very large scale integration; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems, 2000. SiPS 2000. 2000 IEEE Workshop on
Conference_Location :
Lafayette, LA
ISSN :
1520-6130
Print_ISBN :
0-7803-6488-0
Type :
conf
DOI :
10.1109/SIPS.2000.886705
Filename :
886705
Link To Document :
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