Lossless Data Compression via Substring Enumeration
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2010-01-01
SCID: 54.1/gyajbk35
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PPM compressionlexicographic orderlinear-time algorithmlossless data compressionsubstring enumeration
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Abstract (AI)
We present a technique that compresses a string $w$ by enumerating all the substrings of $w$. The substrings are enumerated from the shortest to the longest and in lexicographic order. Compression is obtained from the fact that the set of the substrings of a particular length gives a lot of information about the substrings that are one bit longer. A linear-time, linear-space algorithm is presented. Experimental results show that the compression efficiency comes close to that of the best PPM variants. Other compression techniques are compared to ours.
Key Findings
1
A linear-time, linear-space algorithm is presented for the proposed compression approach.
2
Experiments show compression efficiency approaching that of the best PPM variants, with comparisons against other techniques.
3
Introduces a lossless compression technique based on enumerating all substrings of the input string.
4
Substrings are processed from shortest to longest and in lexicographic order.
5
The method exploits information from substrings of a given length to encode substrings one bit longer.
Research Object
a string w and its set of substrings
Research Subject
lossless compression efficiency and the linear-time, linear-space enumeration-based compression process exploiting information between substrings of consecutive lengths
Publication Details
Publication Date
2010-01-01
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