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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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Journal 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
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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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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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Hardware architecture for lossless image compression based on context-based modeling and arithmetic coding [PDF]
, 2007 In this paper we present a novel hardware architecture for context-based statistical lossless image compression, as part of a dynamically reconfigurable architecture for universal lossless compression.
Vitulli, Raffaele +3 more
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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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Remote Sensing Data Compression [PDF]
, 2021 A huge amount of data is acquired nowadays by different remote sensing systems installed on satellites, aircrafts, and UAV. The acquired data then have to be transferred to image processing centres, stored and/or delivered to customers.
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Zero-knowledge universal lossless data compression
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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