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《Journal of Electronic Measurement and Instrument》 2003-04
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An Image Compression System Based on Second Generation Wavelet Transformation

Hu xie long Lu Feng(1School of Information Engineering, Yangzhou University, Yangzhou 225009,China) (2 Jiangsu Province Key Lab. for Computer Information Processing Technology, Suzhou University, Suzhou 215006,China)  
In this paper we present a image encode/decode compression system that combines the second generation wavelet transformation (SGWT), SPIHT(Set Partitioning in Hierarchical Trees) algorithm and adaptive arithmetic coding scheme. Based on analyzing and comparing the constringent performance CDF(2,2) and FBI9-7 wavelet, this system has a better effect in lossless and near lossy compression. The experimental results show that this method fully make use of the medical image statistical properties and achieve higher compression ratio and lower space and time complexity. Using progressive transmission will obtain the appointed compression ratio and PSNR, lossless in vision and near-lossness in data. This system is sufficiently valid to typical medical images (such as X-ray images, CT images, MRI images) storage, transmission and archiving.
【Fund】: 江苏省计算机信息处理技术重点实验室开放课题 (KJS0 1 0 2 3 );; 扬州大学科研基金 (F0 0 1 1 1 1 9、U0 2 1 1 0 97)的资助
【CateGory Index】: TN911.73
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