Design and Implementation of Lifting Based Two Dimensional Discrete Wavelet Transform

ABSTRACT In this paper, an image compression using a lifting based 2D DWT is proposed and is implemented. The Discrete Wavelet Transform is a more efficient than the Discrete Fourier and Discrete Cosine Transform in terms of Noise, Compression ratio and Transmission speed. In order to overcome the noise and to achieve Higher Transmission speed, an improved version of lifting based Discrete Wavelet Transform VLSI architecture is proposed. In this lifting scheme- split, predict, update methods for lower computational complexities and higher efficiencies is used. Based on convolutions, the Traditional DWT architectures are designed. The second-generation DWTs, which is based on lifting algorithms, are proposed. The DWT is mainly used in image processing. Because, it supports features like progressive image transmission (by quality, by resolution), region of interest, ease of compressed image manipulation, etc. The process of image compression is performed in this paper. VLSI architecture is designed by using lifting based Discrete Wavelet Transform (DWT) and its Register Transfer Logic (RTL) is described using Verilog. The architecture operates at a frequency of 353.107 MHz, when synthesized for Virtex-IV series field programmable gate array using Xilinx 10.