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Performance Evaluation of Lossless Compression Algorithms for Medical Images

机译:医学图像无损压缩算法的性能评估

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With the spread of telemedicine networks, the demand for compression algorithms that provide the efficient transmission of medical data has increased. Although lossy algorithms provide significantly higher compression ratios than lossless methods, lossless techniques are more preferred in the medical field because any loss of information may result in irretrievable results. In recent years, a significant performance improvement as well has been observed in the lossless techniques specialized for medical data. In this study, the performance of lossless compression algorithms with 16-bit support which can be used in telemedicine networks are examined. Various algorithms have been implemented on a wide range of medical data and performance evaluation are presented in quantitative criteria such as processing time and compression ratio.
机译:随着远程医疗网络的普及,对提供有效传输医学数据的压缩算法的需求不断增长。尽管有损算法提供的压缩率要比无损方法高得多,但无损技术在医学领域更为可取,因为任何信息丢失都可能导致无法挽回的结果。近年来,在专门用于医学数据的无损技术中也观察到了显着的性能改进。在这项研究中,研究了可在远程医疗网络中使用的具有16位支持的无损压缩算法的性能。在广泛的医学数据上已经实现了各种算法,并且以定量标准(例如处理时间和压缩率)对性能进行了评估。

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