基于Burrows Wheeler变换的多媒体图像压缩算法评价

2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014) Pub Date : 2015-09-03 DOI:10.1109/EIC.2015.7230717

C. D. Rawat, S. Rao

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引用次数: 4

摘要

压缩是一种在不过度降低数据质量的情况下减少数据量的技术。压缩后的多媒体数据的传输和存储比原始的未压缩数据更快、更高效。多媒体数据压缩，尤其是图像压缩，有各种各样的技术和标准。它们要么是无损技术，要么是有损技术。算术和霍夫曼编码是两种广泛使用的无损压缩技术。Burrows Wheeler Transform(BWT)是一种排序技术，当与现有的压缩算法一起使用时，可以显著提高压缩比。本文分析了基于算术编码(AC)和霍夫曼编码的小波变换混合压缩模型在图像压缩中的应用，并对整体压缩进行了改进。

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Evaluation of Burrows Wheeler Transform based image compression algorithm for multimedia applications

Compression is a technique to reduce the quantity of data without excessively reducing the quality. The transmission and storing of compressed multimedia data is much faster and more efficient than original uncompressed data. There are various techniques and standards for multimedia data compression, especially for image compression. They are either lossless or lossy techniques. Arithmetic and Huffman coding are two of the widely used lossless compression techniques. Burrows Wheeler Transform(BWT) is a sorting technique which when used with the available compression algorithms can considerably increase the compression ratio. Here a hybrid compression model using BWT with Arithmetic Coding(AC) and Huffman Coding is analysed for image compression and improvement in overall compression is documented.

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2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)

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