可逆数据压缩方法的比较

Volker K. Heer, H. Reinfelder
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引用次数: 56

摘要

在医学成像中,ACR-NEMA草案中描述的数据压缩方法差别很大。在我们的贡献中,我们将简要回顾各种方法,并讨论相关的优点和缺点。详细地评价了一阶DPCM金字塔变换和S变换。我们比较了固定和自适应霍夫曼编码和Lempel-Ziv编码两种编码算法。我们对CT、MR、DSA和DLR(数字发光x线摄影)的典型医学图像进行了比较。除了实现的压缩因素外,我们还考虑了压缩和解压所需的CPU时间和主内存需求。为了便于比较,我们用C语言在MicroVAX II和SPARC工作站1上实现了上述算法。2.©(1990)版权所有SPIE—国际光学工程学会。下载摘要仅供个人使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of reversible methods for data compression
Widely differing methods for data compression described in the ACR-NEMA draft are used in medical imaging. In our contribution we will review various methods briefly and discuss the relevant advantages and disadvantages. In detail we evaluate 1st order DPCM pyramid transformation and S transformation. We compare as coding algorithms both fixed and adaptive Huffman coding and Lempel-Ziv coding. Our comparison is performed on typical medical images from CT MR DSA and DLR (Digital Luminescence Radiography). Apart from the achieved compression factors we take into account CPU time required and main memory requirement both for compression and for decompression. For a realistic comparison we have implemented the mentioned algorithms in the C program language on a MicroVAX II and a SPARC station 1. 2.© (1990) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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