Results 1 to 10 of about 28,283 (177)

Lossless and Near-Lossless L-Infinite Compression of Depth Video Data

open access: yesSensors
The acquisition of depth information sensorial data is critically important in medical applications, such as the monitoring of the elderly or the extraction of human biometrics.
Mohammad Ali Tahouri   +3 more
doaj   +4 more sources

Performance analysis of compression algorithms for information security: A Review [PDF]

open access: yesEAI 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
doaj   +1 more source

A comparative analysis of the state-of-the-art lossless image compression techniques [PDF]

open access: yesSHS 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
doaj   +1 more source

Lossless data compression of grid-based digital elevation models: A png image format evaluation [PDF]

open access: yesISPRS 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
doaj   +1 more source

Energy aware lossless data compression [PDF]

open access: yesProceedings 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 Asanović
openaire   +1 more source

FCLQC: fast and concurrent lossless quality scores compressor

open access: yesBMC 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
doaj   +1 more source

A high speed and memory efficient algorithm for perceptually-lossless volumetric medical image compression

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
With the advancements in modern medical imaging systems, the diagnostic image data has increased exponentially. The future medical applications seek medical imaging devices to be portable. Image quality and real-time processing are of prime importance in
Mohd Rafi Lone
doaj   +1 more source

HOW DOES SHANNON’S SOURCE CODING THEOREM FARE IN PREDICTION OF IMAGE COMPRESSION RATIO WITH CURRENT ALGORITHMS? [PDF]

open access: yesThe 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
doaj   +1 more source

Universal lossless compression of graphical data [PDF]

open access: yes2017 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
openaire   +3 more sources

ΔRLE: Lossless data compression algorithm using delta transformation and optimized bit-level run-length encoding

open access: yesJournal 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
doaj   +1 more source

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