| Recently,medical image compression technology is one of the important subjects within medical image database research field and worked over throughout the world.The main purpose of medical image compression is to express more clinic information with less data,which can reduce storage and transmission time.Due to limitations of storage and bandwidth,medical images must be compressed in medical image database system.With the development of digital medical devices and Internet, people become to concern PACS which mainly involve medical image format and compression.On the standard of medical image format, DICOM 3.0 was built by NEMA;on the compression of medical image, lossless compression and lossy compression are introduced to PACS.By lossless compression,the image has high quality but lower compression ratio which is difficult to achieve the requirement of storage and transmission.By lossless methods,it has high compression ratio but low quality of image which make doctors diagnose imprecisely.At present, the application of wavelet analysis is a wide use in image compression, the lifting scheme is a research hotspot with its flexibility,simpleness and other advantageThis paper bases on the important algorithms of medical image compression.Firstly,this paper discusses the purpose,significance,the status and development trend of medical image compression research all over the world,Lossless and lossy compression methods for medical image are analyzed.Then,this paper introduces wavelet,wavelet transform,EZW(Embedded zero-tree wavelet coding algorithm). Furthermore,Lifting Wavelet algorithm and EZW are researched. According to the features and special application requirement of medical image,the analysis of lifting wavelet and improvement of EZW algorithm, this paper presents a new medical Data Compression Algorithm Based on Lifting Wavelet for implementation which base on the existing algorithms. Software simulation shows improved algorithms have good effects. |
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