What are the trade-offs between different lossless compression algorithms in terms of speed and compression ratio?

This paper provides an Ontology-driven Data Cleaning mechanism, facilitating Lossless Healthcare Data Compression to efficiently compress healthcare data. Apr 6, 2016 ... A new lossless data compression method for data transmission is proposed. This new compression mechanism does not face the problem of ... May 12, 2022 ... The compression algorithm and its implementation were designed to be device-agnostic. These developments can be used to create a variety of ... ABSTRACT. Hardware implementation of lossless data compression is impor- tant for optimizing the capacity/cost/power of storage devices in. Sep 25, 2019 ... In this paper, we propose a Transformer based lossless compression method that match the best compression ratio for text. Our approach is purely ... Oct 2, 2023 ... These graphs plot time vs. compressed size, allowing you to compare the various compression steps of lossless data compression algorithms. News. LZO 2.10 has been released; a small update that fixes various build issues. Key Facts. LZO is a portable lossless data compression library written in ... We present a novel method for lossless data compression that aims to get a different performance to those proposed in the last decades to tackle the ... 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 ... Nov 8, 2024 ... The newly developed lossless data compression technology, drawing on Hitachi's expertise in areas such as deep learning models and data storage, ...