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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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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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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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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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Impact of Noise on the Power Lossless Compression Quality in Intelligent Power System
Chemical Engineering Transactions, 2016 Based on the study of FPGA architecture and DSP power quality, the data acquisition system, analysis system works, summarize functional modules of the power quality in the data collection process noise were introduced.
W.H. Yang, L.J. Xie, W.L. Zhou
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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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Lossless Compression Methods for Real-Time Images
Eurasian Journal of Science and Engineering, 2020 This paper proposes and implements two lossless methods, to compress real-time greyscale medical images, which are Huffman coding and a new lossless method called Reduced Lossless Compression Method (RLCM), both of which were tested when applying a ...
Rand B. Mohammed, Roelof van Silfhout
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Dynamic Visual Communication Image Framing of Graphic Design in a Virtual Reality Environment
IEEE Access, 2020 This paper explores dynamic visual communication image framing for graphic design based on virtual reality algorithms; it defines corresponding feature representations by delineating layers of pixels, elements, relationships, planes, and applications ...
Zhiyong Tian
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Lossless compression for laser additive manufacturing using continuous rows compressed storage [PDF]
Journal of Intelligent Manufacturing and Special EquipmentPurpose – The layer section of laser additive manufacturing (AM) can be rasterized. Subsequently, the rasterized layer section can be converted into sparse matrix. However, large storage space is occupied due to the high manufacturing resolution.
Mingyu Gao +3 more
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