11 Facts About Lossless compression

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.

Lossless compression is possible because most real-world data exhibits statistical redundancy.

Therefore, Lossless compression ratios tend to be stronger on human- and machine-readable documents and code in comparison to entropic binary data.

Lossless compression is used in cases where it is important that the original and the decompressed data be identical, or where deviations from the original data would be unfavourable.

Many of the lossless compression techniques used for text work reasonably well for indexed images.

Related searches

Many of the lossless compression techniques used for text work reasonably well for indexed images, but there are other techniques that do not work for typical text that are useful for some images, and other techniques that take advantage of the specific characteristics of images.

However, many ordinary lossless compression algorithms produce headers, wrappers, tables, or other predictable output that might instead make cryptanalysis easier.

Genetics compression algorithms are the latest generation of lossless algorithms that compress data using both conventional compression algorithms and specific algorithms adapted to genetic data.

Genomic sequence Lossless compression algorithms, known as DNA sequence compressors, explore the fact that DNA sequences have characteristic properties, such as inverted repeats.

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.

Lossless compression, has constructed a 415,241 byte binary file of highly entropic content, and issued a public challenge of $100 to anyone to write a program that, together with its input, would be smaller than his provided binary data yet be able to reconstitute it without error.