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Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques
2021 IEEE International Conference on Big Data (Big Data), 2021In the past decades, various lossy compressors have been studied broadly due to the ever-increasing volume of data being produced by today’s scientific applications.
Jinyang Liu +7 more
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2018 52nd Annual Conference on Information Sciences and Systems (CISS), 2018
The framework of secrecy by design is introduced and the fundamental limits of lossless data compression are analyzed for this setting. The main idea behind secrecy by design is to begin with an operational secrecy constraint, which is modeled by a secrecy function f s , and then to derive fundamental limits for the performance of the resulting secrecy
Yanina Y. Shkel +2 more
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The framework of secrecy by design is introduced and the fundamental limits of lossless data compression are analyzed for this setting. The main idea behind secrecy by design is to begin with an operational secrecy constraint, which is modeled by a secrecy function f s , and then to derive fundamental limits for the performance of the resulting secrecy
Yanina Y. Shkel +2 more
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Semi-lossless text compression
Data Compression Conference, 2004. Proceedings. DCC 2004, 2004A new notion, that of semi-lossless text compression, is introduced, and its applicability in various settings is investigated. First results suggest that it might be hard to exploit the additional redundancy of English texts, but the new methods could be useful in applications where the correct spelling is not important, such as in short emails, and ...
Yair Kaufman, Shmuel T. Klein
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Chimp: Efficient Lossless Floating Point Compression for Time Series Databases
Proceedings of the VLDB Endowment, 2022Applications in diverse domains such as astronomy, economics and industrial monitoring, increasingly press the need for analyzing massive collections of time series data.
Panagiotis Liakos +2 more
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Intelligent Image and Video Compression, 2021
This chapter describes methods for coding images without loss; this means that, after compression, the input signal can be exactly reconstructed. It first reviews the motivations and requirements for lossless compression and justifies the use of variable
D. Bull
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This chapter describes methods for coding images without loss; this means that, after compression, the input signal can be exactly reconstructed. It first reviews the motivations and requirements for lossless compression and justifies the use of variable
D. Bull
semanticscholar +1 more source
Lossless compression of already compressed textures
Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics, 2011Texture compression helps rendering by reducing the footprint in graphics memory, thus allowing for more textures, and by lowering the number of memory accesses between the graphics processor and memory, increasing performance and lowering power consumption.
Jacob Ström, Per Wennersten
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A Lossless-by-Lossy Approach to Lossless Image Compression
2006 International Conference on Image Processing, 2006This paper proposes a method of lossless image coding by the aid of lossy image coding. It aims at an improvement in the compression efficiency. We apply a kind of embedded coding to large coefficients in magnitude in a wavelet transform domain. The other wavelet coefficients are encoded by a context-based entropy coding.
Kazuma Shinoda +2 more
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IEEE Geoscience and Remote Sensing Magazine, 2021
The Consultative Committee for Space Data Systems (CCSDS) published the CCSDS 123.0-B-2, “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” standard.
Miguel Hernández-Cabronero +6 more
semanticscholar +1 more source
The Consultative Committee for Space Data Systems (CCSDS) published the CCSDS 123.0-B-2, “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” standard.
Miguel Hernández-Cabronero +6 more
semanticscholar +1 more source
Lossless compression of seismic data
Journal of the Franklin Institute, 2006Data compression techniques are commonly used to achieve a low bit rate in the digital representation of signals for efficient processing, transmission, and storage. In this paper, a new technique for lossless compression of seismic data is introduced. The technique consists of two stages.
Abdulaziz O. Abanmi +2 more
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Layer-Wise Geometry Aggregation Framework for Lossless LiDAR Point Cloud Compression
IEEE transactions on circuits and systems for video technology (Print), 2021Point cloud compression is critical to deploy 3D applications like autonomous driving. However, LiDAR point clouds contain many disconnected regions, where redundant bits for unoccupied 3D space and weak correlations between points make it a troublesome ...
Fei Song +4 more
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