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LZ77 and LZ78 are the two lossless data compression algorithms published in papers by Abraham Lempel and Jacob Ziv in 1977 [1] and 1978. [2] They are also known as Lempel-Ziv 1 (LZ1) and Lempel-Ziv 2 (LZ2) respectively. [3] These two algorithms form the basis for many variations including LZW, LZSS, LZMA and others.
Lempel-Ziv compression (LZ77 and LZ78) – Dictionary-based algorithm that forms the basis for many other algorithms Deflate – Combines LZ77 compression with Huffman coding, used by ZIP, gzip, and PNG images; Lempel–Ziv–Markov chain algorithm (LZMA) – Very high compression ratio, used by 7zip and xz
Lempel–Ziv–Stac (LZS, or Stac compression or Stacker compression [1]) is a lossless data compression algorithm that uses a combination of the LZ77 sliding-window compression algorithm and fixed Huffman coding.
The compression algorithm is Deflate, which combines LZSS with Huffman coding. .lz application/x-lzip lzip: Unix-like An alternate LZMA algorithm implementation, with support for checksums and ident bytes. .lz4 LZ4: Unix-like Algorithm developed by Yann Collet, designed for very high (de)compression speeds. It is an LZ77 derivative, without ...
Lempel–Ziv–Storer–Szymanski (LZSS) is a lossless data compression algorithm, a derivative of LZ77, that was created in 1982 by James A. Storer and Thomas Szymanski. LZSS was described in article "Data compression via textual substitution" published in Journal of the ACM (1982, pp. 928–951). [1] LZSS is a dictionary coding technique. It ...
For example, a run of 10 identical bytes can be encoded as one byte, followed by a duplicate of length 9, beginning with the previous byte. Searching the preceding text for duplicate substrings is the most computationally expensive part of the DEFLATE algorithm, and the operation which compression level settings affect.
This algorithm uses a dictionary compression scheme somewhat similar to the LZ77 algorithm published by Abraham Lempel and Jacob Ziv in 1977 and features a high compression ratio (generally higher than bzip2) [2] [3] and a variable compression-dictionary size (up to 4 GB), [4] while still maintaining decompression speed similar to other ...
The underlying mechanism in this complexity measure is the starting point for some algorithms for lossless data compression, like LZ77, LZ78 and LZW. Even though it is based on an elementary principle of words copying, this complexity measure is not too restrictive in the sense that it satisfies the main qualities expected by such a measure ...