Study Of Compressing The Medical Image Based On Embedded Zeroteree Wavelet Encoding

Objective To study the Embedded Zerotree Wavelet Encoding and the improved EZW in this dissertation to compress medical CT and MR image, and to provide an analytical comparison between the improved EZW and EZW.Methods The basic fundamentals and algorithm of the EZW were analyzed. The EZW was improved in view of the defect of EZW, a program was written and applied to accomplish the compression of CT and MR image.Results The runtime of the improved EZW was shorter and the PSNRs of the improved EZW were higher than those of EZW at the same compression ratios. The image quality and PSNRs got larger melioration especially in high compression ratios.Conclusion The algorithm of the improved EZW is superior to EZW. It can fulfill the requirements of transmission and diagnosis of medical image.