An efficient hardware implementation of DWT and IDWT
- 21 June 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 95-99 Vol.1
- https://doi.org/10.1109/tencon.2003.1273240
Abstract
Real-time applications of discrete wavelet transform (DWT), like video and audio compression, necessitate fast computation of DWT. Full-custom VLSI devices have been used for fast, though expensive, implementations of DWT. Field-programmable gate array (FPGA) architectures offer economical but area-constrained implementation of DWT. The paper proposes an efficient FPGA architecture for DWT as well as inverse DWT (IDWT). Use of distributed arithmetic allows us to do without area-consuming multipliers in the present realization. The proposed architecture is modular and allows extension to any precision without much effect on the clock frequency. Simulation results have established that the proposed fast implementation scheme can produce high-quality reconstructed signals.Keywords
This publication has 10 references indexed in Scilit:
- VLSI design of 1-D DWT architecture with parallel filtersIntegration, 2000
- An efficient VLSI architecture for 2-D wavelet image coding with novel image scanIEEE Transactions on Very Large Scale Integration (VLSI) Systems, 1999
- VLSI architectures for the discrete wavelet transformIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1995
- VLSI architectures for discrete wavelet transformsIEEE Transactions on Very Large Scale Integration (VLSI) Systems, 1993
- VLSI architecture for 2-D Daubechies wavelet transform without multipliersElectronics Letters, 1991
- VLSI architecture for the discrete wavelet transformElectronics Letters, 1990
- A theory for multiresolution signal decomposition: the wavelet representationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- Applications of distributed arithmetic to digital signal processing: a tutorial reviewIEEE ASSP Magazine, 1989
- Multifrequency channel decompositions of images and wavelet modelsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Orthonormal bases of compactly supported waveletsCommunications on Pure and Applied Mathematics, 1988