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. 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).
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.[1] 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). By operation of the pigeonhole principle, no lossless compression algorithm can shrink the size of all possible data: Some data will get…
saved by
related reading
- How Lossless Data Compression Works | Quanta Magazinequantamagazine.org
- How does image compression work? | Lee Robinsonleerob.com
- Compression is predictionngrok.com
- Compression and Intelligencegreene.sh
- Data Compression Explainedmattmahoney.net
- Lossy Text Compressionhackaday.io
- Variable-length encoding - Wikipediaen.wikipedia.org
- [2309.10668] Language Modeling Is Compressionarxiv.org
- H.264 is magic: a technical walkthrough of a remarkable technology.sidbala.com
- Can gzip be a language model?nathan.rs
- Run-length encoding - Wikipediaen.wikipedia.org
- Entropy coding - Wikipediaen.wikipedia.org