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Algorithms are generally quite specifically tuned to a particular type of file: for example, lossless audio compression programs do not work well on text files, and vice versa. In particular, files of random data cannot be consistently compressed by any conceivable lossless data compression algorithm; indeed, this result is used to define the ...
A file which was "squeezed" had the middle initial of the name changed to "Q", so that a squeezed text file would end with .TQT, a squeezed executable would end with .CQM or .EQE. Typically used with .LBR archives, either by storing the squeezed files in the archive, or by storing the files decompressed and then compressing the archive, which ...
Lossy data compression schemes are designed by research on how people perceive the data in question. For example, the human eye is more sensitive to subtle variations in luminance than it is to the variations in color. JPEG image compression works in part by rounding off nonessential bits of information. [15]
It is tunable with compression levels ranging from negative 7 (fastest) [6] to 22 (slowest in compression speed, but best compression ratio). Starting from version 1.3.2 (October 2017), zstd optionally implements very-long-range search and deduplication (--long, 128 MiB window) similar to rzip or lrzip. [7]
Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:
bzip2 is a free and open-source file compression program that uses the Burrows–Wheeler algorithm.It only compresses single files and is not a file archiver.It relies on separate external utilities such as tar for tasks such as handling multiple files, and other tools for encryption, and archive splitting.
Maximum Compression, site benchmarking compressors for several filetypes (text, executable, jpeg etc.). Kingsley G. Morse Jr., "Compression Tools Compared", Linux Journal, issue 137, September 2005; Patrick Schmid, Achim Roos, (March 10, 2010) "Four Compression And Archiving Solutions Compared", Tom's Hardware
The most widely used lossy compression algorithm is the discrete cosine transform (DCT), first published by Nasir Ahmed, T. Natarajan and K. R. Rao in 1974. Lossy compression is most commonly used to compress multimedia data (audio, video, and images), especially in applications such as streaming media and internet telephony. By contrast ...
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