Simple lossless and near-lossless medical image compression based on enhanced DPCM transformation
Simple lossless and near-lossless medical image compression based on enhanced DPCM transformation
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DOI：
10.1109/pacrim.2011.6032869
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发表时间：
2011-10
期刊：
影响因子：
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通讯作者：
F. Sepehrband;Mohammad Mortazavi;Seyed Ghorshi;Jeiran Choupan
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文献类型：
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作者：
F. Sepehrband;Mohammad Mortazavi;Seyed Ghorshi;Jeiran Choupan
医学图像包括关于人体的信息，用于不同的目的，例如手术和诊断计划。医学图像的压缩被用于一些应用中，例如对患者的数据和传输系统进行分析。考虑到医学图像信息的重要性，无损或近无损压缩是优选的。无损JPEG、JPEG-LS和无损版本的JPEG 2000是用于无损压缩的少数公知方法。JPEG 2000是最新的压缩标准之一，提供了良好的压缩比，但它很复杂[1]。在需要硬件实现的真实的实时应用中，低复杂度的算法加速了压缩过程。本文介绍了一种无损和近无损压缩方法，该方法具有压缩比高、简单等优点。该方法是由一种新的变换方法称为增强DPCM变换（EDT），它具有良好的能量压缩和合适的霍夫曼编码。在介绍了压缩方法后，将其应用于不同的测试用例，并对结果进行了评价。
Medical images include information about human body which are used for different purposes such as surgical and diagnostic plans. Compression of medical images is used in some applications such as profiling patient's data and transmission systems. Regard to importance of medical images information, lossless or near-lossless compression is preferred. Lossless JPEG, JPEG-LS and lossless version of JPEG2000 are few well-known methods for lossless compression. JPEG2000 is one of the latest and provides good compression ratio, however, it is complex [1]. In real time application which needs hardware implementation, low complex algorithm accelerates compression process. In this paper, a lossless and near-lossless compression method is introduced which is efficient due to its high compression ratio and simplicity. The method is consists of a new transformation method called Enhanced DPCM Transformation (EDT) which has a good energy compaction and a suitable Huffman encoding. After introducing the compression method, it is applied on different test cases and the results are evaluated.