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  • 标题:On the Randomness of Compressed Data
  • 本地全文:下载
  • 作者:Shmuel T. Klein ; Dana Shapira
  • 期刊名称:Information
  • 电子版ISSN:2078-2489
  • 出版年度:2020
  • 卷号:11
  • 期号:4
  • 页码:196-206
  • DOI:10.3390/info11040196
  • 出版社:MDPI Publishing
  • 摘要:It seems reasonable to expect from a good compression method that its output should not be further compressible, because it should behave essentially like random data. We investigate this premise for a variety of known lossless compression techniques, and find that, surprisingly, there is much variability in the randomness, depending on the chosen method. Arithmetic coding seems to produce perfectly random output, whereas that of Huffman or Ziv-Lempel coding still contains many dependencies. In particular, the output of Huffman coding has already been proven to be random under certain conditions, and we present evidence here that arithmetic coding may produce an output that is identical to that of Huffman.
  • 关键词:data compression; Huffman coding; arithmetic coding; Ziv-Lempel coding data compression ; Huffman coding ; arithmetic coding ; Ziv-Lempel coding
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