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DICOM image compression by wavelet transform

机译:通过小波变换的DICOM图像压缩

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摘要

Efficient image compression solutions are becoming more critical with the recent intensive growth of data and multimedia-based web applications. In this paper we propose an efficient DICOM image compression based on wavelet transform. The basic concepts of graphical image storage and currently used compression algorithms, are discussed Several types of wavelets, including Haar, Daubechies, and biorthogonal spline are tested An adaptative quantization method has been introduced, it has been followed by an arithmetic coding. Besides, images in the standard medical format DICOM are considered in our application.
机译:高效的图像压缩解决方案与最近的数据和基于多媒体的Web应用程序的密集增长变得越来越重要。在本文中,我们提出了一种基于小波变换的高效DICOM图像压缩。图形图像存储和当前使用的压缩算法的基本概念被讨论了几种类型的小波,包括HAAR,DAUBECHIES和双正态样条曲线已经引入了一种自适应量化方法,已经术后进行了算术编码。此外,我们的应用中考虑了标准医疗格式DICOM中的图像。

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