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Zero-knowledge universal lossless data compression [PDF]
MATEC Web of Conferences, 2017 Advanced instrumentation, dealing with nanoscale technology at the current edge of human scientific enquiry, like X-Ray CT, generates an enormous quantity of data from single experiment.
Fiorini Rodolfo A.
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Lossless and Near-Lossless Compression Algorithms for Remotely Sensed Hyperspectral Images
EntropyRapid and continuous advancements in remote sensing technology have resulted in finer resolutions and higher acquisition rates of hyperspectral images (HSIs).
Amal Altamimi, Belgacem Ben Youssef
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Performance analysis of compression algorithms for information security: A Review [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 Data compression is a vital part of information security, since compressed data is much more secure and convenient tohandle. Effective data compression technique creates an effective, secure, easy communicable & redundant data.
Neha Sharma, Usha Batra
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A comparative analysis of the state-of-the-art lossless image compression techniques [PDF]
SHS Web of Conferences, 2022 Lossless data reduction is essential for data transmission over the Internet and the storage of data in a digital device when data loss is not permitted. The application of image compression is essential for image storing, image classification, and image
Rahman Atiqur +2 more
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Lossless data compression of grid-based digital elevation models: A png image format evaluation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 At present, computers, lasers, radars, planes and satellite technologies make possible very fast and accurate topographic data acquisition for the production of maps. However, the problem of managing and manipulating this data efficiently remains.
G. Scarmana
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Energy aware lossless data compression [PDF]
Proceedings of the 1st international conference on Mobile systems, applications and services, 2003 Wireless transmission of a single bit can require over 1000 times more energy than a single computation. It can therefore be beneficial to perform additional computation to reduce the number of bits transmitted. If the energy required to compress data is less than the energy required to send it, there is a net energy savings and an ...
Kenneth C. Barr, Krste Asanovic
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Universal lossless compression of graphical data [PDF]
2017 IEEE International Symposium on Information Theory (ISIT), 2017 Graphical data is comprised of a graph with marks on its edges and vertices. The mark indicates the value of some attribute associated to the respective edge or vertex. Examples of such data arise in social networks, molecular and systems biology, and web graphs, as well as in several other application areas.
Payam Delgosha, Venkat Anantharam
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FCLQC: fast and concurrent lossless quality scores compressor
BMC Bioinformatics, 2021 Background Advances in sequencing technology have drastically reduced sequencing costs. As a result, the amount of sequencing data increases explosively.
Minhyeok Cho, Albert No
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HOW DOES SHANNON’S SOURCE CODING THEOREM FARE IN PREDICTION OF IMAGE COMPRESSION RATIO WITH CURRENT ALGORITHMS? [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Images with large volumes are generated daily with the advent of advanced sensors and platforms (e.g., satellite, unmanned autonomous vehicle) of data acquisition. This incurs issues on the storage, processing, and transmission of images. To address such
X. Cheng, Z. Li, Z. Li
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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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