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Simple lossless and near-lossless medical image compression based on enhanced DPCM transformation

机译:基于增强的DPCM变换的简单无损和近无损医学图像压缩

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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.
机译:医学图像包括有关人体的信息,这些信息可用于不同目的,例如手术和诊断计划。医学图像的压缩用于某些应用程序中,例如分析患者的数据和传输系统。关于医学图像信息的重要性,优选无损或近无损压缩。无损JPEG,JPEG-LS和JPEG2000的无损版本是鲜为人知的无损压缩方法。 JPEG2000是最新的,并且提供了良好的压缩率,但是它很复杂[1]。在需要硬件实现的实时应用中,低复杂度算法加快了压缩过程。本文介绍了一种无损且几乎无损的压缩方法,该方法由于其高压缩比和简单性而非常有效。该方法由称为增强DPCM变换(EDT)的新变换方法组成,该方法具有良好的能量压缩和合适的霍夫曼编码。引入压缩方法后,将其应用于不同的测试案例并评估结果。

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