What are the trade-offs between lossless and lossy compression in different applications?

This paper provides an Ontology-driven Data Cleaning mechanism, facilitating Lossless Healthcare Data Compression to efficiently compress healthcare data. We present a method for radical linear compression of data sets where the data are dependent on some number M of parameters. This data compression pipeline is using algorithms like Burrows-Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. Parallel Hardware/Software Architecture for the BWT and LZ77 Lossless Data Compression Algorithms. Virgilio Zuñiga Grajeda, Claudia Feregrino Uribe, Rene ... Information theory is needed to understand the limits of compression and give clues on how to compress well. Lecture 5 - Statistical Lossless Data Compression. Nov 14, 2005 ... These two functions (DZIP and DUNZIP) losslessly compress or decompress MATLAB variables of most data types so that they occupy less space. May 21, 2024 ... The following topics were dealt with: technologies and standards; technology drivers; lossless data compression; telemetry channel coding; ... Nov 1, 2017 ... Abstract. The performance of lossless data compression depends mainly on compression rate and compression time. The compression time of ... Nov 7, 2023 ... We propose a hardware-accelerated lossless data compression system to reduce traffic storage overhead. Nov 4, 2021 ... This report provides a broad tutorial overview of the CCSDS Lossless Data. Compression algorithm and is aimed at helping first-time readers to ...