Lossless compression - definition

Lossless compression is a method of encoding data that makes it possible to reduce its volume while maintaining the full integrity of the information. This means that after decompression it is possible to accurately reconstruct the original data bit by bit, without any loss of content. The process is based on identifying and eliminating redundancies - that is, repeated sequences, patterns or symbols - while using efficient coding methods to represent this information in a more compact way.

Lossless compression is used wherever full data fidelity is important, e.g. in text documents, source code, binary archives, medical images, databases or in data transmission between computer systems and measurement devices. In audio and video systems, it can also be used, especially in professional applications where any distortion of the source signal is unacceptable.

Others use various lossless compression algorithms in engineering practice, the most popular of which are Huffman, LZW (Lempel-Ziv-Welch), DEFLATE, Burrows-Wheeler or predictive algorithms used e.g. in PNG, FLAC or ZIP formats. Their effectiveness depends on the structure of the input data - the greater the repeatability and predictability of the data, the higher the possible compression ratio. In contrast to lossy methods, lossless compression does not introduce artefacts and does not change the characteristics of the signal, making it ideal for archiving, transmission of critical data and for scientific and engineering purposes.

Algorithms of this type must strike a balance between compression rate, processing time and computational complexity. Systems with limited computing power or memory use simplified versions of compression that guarantee fast performance with an acceptable level of data reduction. In the context of embedded systems, Automation and IoT devices, lossless compression plays a key role in efficiently transferring and storing data while keeping its content intact.

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