LosslessKompression

LosslessKompression is a term used to describe data compression methods that reduce the size of digital data without removing information.

Most lossless compression relies on removing redundancy through reversible transformations. Common approaches include dictionary-based schemes like LZ77, LZ78, and their derivatives (LZW), and statistical or entropy-based methods such as Huffman coding, arithmetic coding, or range coding. Many practical formats combine these techniques, for example using a dictionary stage to replace repeated patterns followed by an entropy coder to encode the symbols. For multimedia, formats like PNG and FLAC implement lossless compression using combinations such as LZ77 plus Huffman or predictive coding with entropy coding.

Performance varies with data type; text often compresses well, while already compressed media may yield modest gains. Trade-offs exist between compression ratio, speed, memory use, and whether random access or streaming is required. LosslessKompression aims to allow exact reconstruction; any corruption during transmission can render data unrecoverable unless error-detection or correction is provided.

Historically, lossless compression has been governed by standards and open formats, including ZIP, gzip, PNG, FLAC, and others. The term LosslessKompression is sometimes used in German-language resources or as a branding placeholder for projects focusing on lossless techniques. The field continues to evolve with adaptive models, hybrid schemes, and hardware acceleration.