3D Haar wavelet transform with dynamic partial reconfiguration for 3D medical image compression

Abstract

This paper describes the design and implementation of 3D Haar wavelet transform (HWT) with transpose based computation and dynamic partial reconfiguration (DPR). As a result of the separability property of the multi-dimensional HWT, the proposed architecture has been implemented using a cascade of three N-point 1D HWT and two transpose memory for a 3D volume of N × N × N, suitable for 3D medical image compression. The proposed 3D HWT architectures were implemented on Xilinx Virtex-5 field programmable gate array (FPGA) using VHDL. An in-depth performance analysis and comparison has shown that DPR based implementation improves both speed and power consumption as well as reducing the hardware required for the system.