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Medical image compression with set partitioning in hierarchical trees

机译:医学图像压缩与设置分区在层次树上

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Wavelet-based image compression is proving to be a very effective technique for medical images, giving significantly better results than the JPEG algorithm. A novel scheme for encoding wavelet coefficients, termed set partitioning in hierarchical trees, has recently been proposed and yields significantly better compression than more standard methods. The authors report the results of experiments comparing such coding to more conventional wavelet compression and to JPEG compression on several types of medical images.
机译:基于小波的图像压缩被证明是对医学图像的非常有效的技术,从而提供比JPEG算法更好的结果。最近提出了一种用于编码小波系数的小型方案,最近已经提出了分层树木的分区,并且产生比更多标准方法更好的压缩。作者报告了对比较的实验结果,比较了这种编码到更传统的小波压缩和若干类型的医学图像上的JPEG压缩。

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