Results 21 to 30 of about 3,361 (164)
JPEG2000 Compatible Lossless Coding of Floating-Point Data
EURASIP Journal on Image and Video Processing, 2007 Many scientific applications require that image data be stored in floating-point format due to the large dynamic range of the data. These applications pose a problem if the data needs to be compressed since modern image compression standards, such as ...
Bryan E. Usevitch
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On Predictive-Based Lossless Compression of Images with Higher Bit Depths [PDF]
Telfor Journal, 2012 Due to the rapidly increasing requirements for data transmission and storage, applications for fast and efficient compression of data have a very important role. Lossless compression must be applied when data acquisition is expensive.
A. Avramović, G. Banjac
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Lossless Compression Schemes for ECG Signals Using Neural Network Predictors
EURASIP Journal on Advances in Signal Processing, 2007 This paper presents lossless compression schemes for ECG signals based on neural network predictors and entropy encoders. Decorrelation is achieved by nonlinear prediction in the first stage and encoding of the residues is done by using lossless entropy ...
C. Eswaran, R. Kannan
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Computers, 2019 Since lossless compression can only achieve two to four times data compression, it may not be efficient to deploy lossless compression in bandwidth constrained applications. Instead, it would be more economical to adopt perceptually lossless compression,
Chiman Kwan +5 more
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Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingLossless compression of remote sensing images is critically important for minimizing storage requirements while preserving the complete integrity of the data.
Enjia Gu +3 more
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A Review of Classical Lossless Data Compression Algorithmsand Their Contemporary Relevance [PDF]
Biuletyn Wojskowej Akademii TechnicznejCompression is data processing aimed at reducing the amount of information (e.g., for archiving and transfer). There is lossyand lossless compression. Compression algorithms can be either general-purpose or designed for specific types of data (e.g., for ...
Dominik Maciej Matusiak
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Lossless compression with security constraints [PDF]
2008 IEEE International Symposium on Information Theory, 2008 Proceedings of the 2008 IEEE International Symposium on Information Theory, Toronto, ON, Canada, July 6 - 11 ...
D. Gunduz, E. Erkip, H. V. Poor
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The Improvised GZIP, A Technique for Real Time Lossless Data Compression [PDF]
EAI Endorsed Transactions on Context-aware Systems and Applications, 2019 Whenever it comes to data processing, the user always faces two major constraints. One is storage capacity and second is bandwidth. These two resources must be efficiently utilized by compressing the data.
Ahmad Shah, Muhammad Sethi
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Journal of Information and Organizational Sciences, 2021 Lossless data compression algorithms can use statistical redundancy to represent data using a fewer number of bits in comparison to the original uncompressed data.
Branislav Mados +2 more
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Virtually Lossless Compression of Astrophysical Images
EURASIP Journal on Advances in Signal Processing, 2005 We describe an image compression strategy potentially capable of preserving the scientific quality of astrophysical data, simultaneously allowing a consistent bandwidth reduction to be achieved.
Alparone Luciano +3 more
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