基于小波的医学图像混合压缩

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI:10.1109/ICCWAMTIP.2018.8632612

Fadia Shah, Jianping Li, Wang Zhou, Jalaluddin Khan, F. Shah, Y. Shah

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引用次数: 1

摘要

科学研究已经从许多来源扩展了医疗大数据(MBD)收集。巨大的MBD需要更多的存储空间。传统的数据库管理系统已经过时，无法支持可靠的MBD处理。通常使用两种类型的压缩方案来减小MBD大小。提出了一种用于医疗大数据压缩的混合压缩方法。这也保证了MBD的质量和图像的可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Hybrid Compression of Medical Images with Wavelets

Scientific studies have extended the Medical Big Data (MBD)collection from numerous sources. Huge MBD needs more storage space. The traditional database management systems were obsolete and they cannot support reliable MBD processing. Usually two types of compression schemes were used to reduce the MBD size. This paper presents a hybrid compression approach for medical big data for size reduction. This also guarantees MBD quality and image reliability.

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来源期刊

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)

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