![]() Different algorithms exist that are designed either with a specific type of input data in mind or with specific assumptions about what kinds of redundancy the uncompressed data are likely to contain. ![]() By contrast, lossy compression permits reconstruction only of an approximation of the original data, though usually with greatly improved compression rates (and therefore reduced media sizes).īy operation of the pigeonhole principle, no lossless compression algorithm can shrink the size of all possible data: Some data will get longer by at least one symbol or byte.Ĭompression algorithms are usually effective for human- and machine-readable documents and cannot shrink the size of random data that contain no redundancy. Lossless compression is possible because most real-world data exhibits statistical redundancy. Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Data compression approach allowing perfect reconstruction of the original data
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