Squeezing of Medical Images Using Lifting Based Wavelet Transform coupled with Modified SPIHT Algorithm

Medical images requires huge amount of storage space especially volumetric medical images such as computed tomography (CT) and magnetic resonance (MR) images. The amount of data produced by these techniques is vast and they utilize maximum bandwidth for transmission that often results in degradation of image quality. Image squeezing demands high speed architectures for transformation and encoding process. Medical image squeezing needs compression schemes with faster architectures. A trade-off between speed and area decides the complexity of image compression algorithms. Field Programmable Gate Array (FPGA) technology has become a viable target for the implementation of real time algorithms suitable to image processing applications. FPGAs are the most attractive and popular option, featuring low power and high-performance. This paper proposes a model to obtain a throughput efficient FPGA design and implementation of Lifting Based discrete wavelet transform using folded architecture coupled with modified SPIHT (Set Partition in Hierarchical Trees) algorithm to provide sufficient storage space, area and to visualize power consumption.