An Efficient VLSI Architecture for Lifting-Based Discrete Wavelet Transform

Abstract

In this paper, we propose an efficient VLSI architecture which performs the two-dimensional (2-D) discrete wavelet transform (DWT) of 9/7 filter for JPEG2000. Based on the modified lifting-based DWT algorithm, an efficient VLSI architecture for one-dimensional (1-D) DWT is derived to reduce the hardware cost and shorten the critical path. The proposed 2-D DWT architecture is composed of two 1-D processors (row and column processors). Based on the line-based architecture, the column processor can start column-wise transform while only two rows have been processed For an M×N image, only 5.5N internal memory is required for the 9/7 filter to perform the 2-D DWT with the critical path of one multiplier. Finally, Verilog simulation results are presented to show that the proposed architecture in comparison with other existing architectures is fast and efficient for the 2-D DWT computation.