基于Burrows Wheeler变换的无损图像压缩(方法与技术)

E. Syahrul, J. Dubois, V. Vajnovszki, T. Saidani, Mohamed Atri
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引用次数: 12

摘要

burrows-wheeler变换(BWT)是最初为bzip2等文本压缩而创建的一种组合算法,最近已被应用于图像压缩领域。研究了基于组合变换的压缩方案对高分辨率医学图像的影响。它概述了原始方案和在此背景下对BWT后处理的一些改进。对这些技术的性能进行了比较和讨论。此外,还考虑了图像的大小和数据格式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lossless Image Compression Using Burrows Wheeler Transform (Methods and Techniques)
The burrows-wheeler transform (BWT) is a combinatorial algorithm originally created for text compression such as bzip2, and that has been recently applied to image compression field. This paper focuses on the impact of compression scheme based on the combinatorial transform on high-level resolution medical images. It overviews the original scheme and some improvements that have been develop in post processing of BWT in this context. The performances of these techniques are compared and discussed. Moreover, considerations on the imagepsilas sizes and data formats are also considered.
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