An empirical evaluation of coding methods for multi-symbol alphabets

Alistair Moffat, Neil Sharman, I. Witten, T. Bell
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引用次数: 45

Abstract

The authors examine the resource requirements and compression efficiency of the coding phase, concentrating on applications with medium and large alphabets. When semi-static two-pass encoding can be used, Huffman coding is two to four times faster than arithmetic coding, and sometimes results in superior compression. When an adaptive coder is required the difference in speed is smaller, but Gallager's implementation of dynamic Huffman coding is still faster than arithmetic coding in most situations. The compression loss through the use of Huffman codes is negligible in all but extreme circumstances. Where very high speed is necessary splay coding is also worth considering, although it yields poorer compression.<>
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多符号字母编码方法的实证评价
作者检查了编码阶段的资源需求和压缩效率,集中在中等和大型字母的应用程序上。当可以使用半静态两通道编码时,霍夫曼编码比算术编码快2到4倍,并且有时会产生更好的压缩。当需要自适应编码器时,速度差异较小,但Gallager实现的动态霍夫曼编码在大多数情况下仍然比算术编码快。除了在极端情况下,使用霍夫曼码的压缩损失几乎可以忽略不计。在需要非常高的速度的地方,尽管它产生较差的压缩,但显示编码也值得考虑。
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