Results 31 to 40 of about 10,310 (245)

Forensics Aware Lossless Compression of CAN Traffic Logs [PDF]

open access: yes, 2017
In this paper, we propose a compression method that allows for the efficient storage of large amounts of CAN traffic data, which is needed for the forensic investigations of accidents caused by the cyber-attacks on vehicles.
Zsolt Szalay   +2 more
core   +1 more source

Colour volumetric compression for realistic view synthesis applications [PDF]

open access: yes, 2007
The colour volumetric data which is constructed from a set of multi-view images is capable of providing realistic immersive experience. However it is not widely applicable due to its manifold increase in bandwidth.
Anantrasirichai, N   +7 more
core   +1 more source

On Predictive-Based Lossless Compression of Images with Higher Bit Depths [PDF]

open access: yesTelfor 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
doaj  

Lossless Compression Schemes for ECG Signals Using Neural Network Predictors

open access: yesEURASIP 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
doaj   +2 more sources

A Comparison of Compression Codecs for Maritime and Sonar Images in Bandwidth Constrained Applications

open access: yesComputers, 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
doaj   +1 more source

Weighting of double exponential distributed data in lossless image compression [PDF]

open access: yes, 1998
A probability assignment technique for weighting-based double exponential data in lossless image compression is introduced. It is shown that this technique has a favorable effect on compression when compared with traditional estimation ...
Smeets, Ben,   +2 more
core   +1 more source

Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Lossless compression of remote sensing images is critically important for minimizing storage requirements while preserving the complete integrity of the data.
Enjia Gu   +3 more
doaj   +1 more source

A Review of Classical Lossless Data Compression Algorithmsand Their Contemporary Relevance [PDF]

open access: yesBiuletyn Wojskowej Akademii Technicznej
Compression 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
doaj   +1 more source

The Improvised GZIP, A Technique for Real Time Lossless Data Compression [PDF]

open access: yesEAI 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
doaj   +1 more source

Lossless and Lossy Hyperspectral Compression IP Core for Space Missions [PDF]

open access: yes
This work presents a new compression IP core for lossless and near-lossless compression of multi- and hyperspectral data, compliant with the CCSDS-123.0-B-2 compression standard. This IP core supports most of the standard features, including all entropy
Bartrina-Rapesta, Joan   +7 more
core   +1 more source

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