An Efficient Technique Using Lifting Based 3-d Dwt for Bio-medical Image Compression

Compression technique is significant in day to day scenario for smooth transmission of data. By utilizing this technique the bandwidth utilization is reduced. Even compression techniques help us for efficient memory utilization to make overall data transmission better. Data size in different cases is quite huge and difficult to send without compressing it. In the biomedical arena, it is applicable because of the large image size, but at the same time it is having its own challenges in terms of data loss. While reconstructing the image, the possibility of data loss or quality loss comes into picture. Though there are many techniques which suggest lossless compression and decompression but still refinement is required. There are techniques using discrete wavelet transform to do the lossless image compression. The recent one is the Three-Dimensional Discrete Wavelet Transform (3-D DWT). In this research work, a lifting based Discrete Wavelet Transform architecture for three dimensional images is presented. The proposed architecture has been implemented on Xilinx Virtex-6 Series Field-Programmable Gate Array (FPGA). Implementation results show the efficiency of proposed system in terms of power consumption and operating frequency. The proposed architecture of Discrete Wavelet Transform achieves a maximum operating frequency of 298 MHz with a power consumption of 7 mW.