Results 21 to 30 of about 1,258 (196)
An FPGA Accelerator for Real-Time Lossy Compression of Hyperspectral Images
Hyperspectral images offer great possibilities for remote studies, but can be difficult to manage due to their size. Compression helps with storage and transmission, and many efforts have been made towards standardizing compression algorithms, especially
Daniel Báscones +2 more
doaj +1 more source
A novel method of data compression using ROI for biomedical 2D images
In the era of modern medical imaging communal, huge volume of medical image data are being acquired and need to be transmitted and archived which necessitate the development of efficient image compression techniques on both 2D and 3D images.
Dankan Gowda V +6 more
doaj +1 more source
Background With the precision of the mass spectrometry (MS) going higher, the MS file size increases rapidly. Beyond the widely-used open format mzML, near-lossless or lossless compression algorithms and formats emerged in scenarios with different ...
Miaoshan Lu +4 more
doaj +1 more source
Virtually Lossless Compression of Astrophysical Images
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
doaj +1 more source
Near-Lossless Deep Feature Compression for Collaborative Intelligence [PDF]
Collaborative intelligence is a new paradigm for efficient deployment of deep neural networks across the mobile-cloud infrastructure. By dividing the network between the mobile and the cloud, it is possible to distribute the computational workload such that the overall energy and/or latency of the system is minimized. However, this necessitates sending
Hyomin Choi, Ivan V. Bajic
openaire +2 more sources
Hyperspectral IASI L1C Data Compression
The Infrared Atmospheric Sounding Interferometer (IASI), implemented on the MetOp satellite series, represents a significant step forward in atmospheric forecast and weather understanding.
Joaquín García-Sobrino +2 more
doaj +1 more source
Quantum Coarse Graining for Extreme Dimension Reduction in Modeling Stochastic Temporal Dynamics
Stochastic modeling of complex systems plays an essential, yet often computationally intensive, role across the quantitative sciences. Recent advances in quantum information processing have elucidated the potential for quantum simulators to exhibit ...
Thomas J. Elliott
doaj +1 more source
Why Shape Coding? Asymptotic Analysis of the Entropy Rate for Digital Images
This paper focuses on the ultimate limit theory of image compression. It proves that for an image source, there exists a coding method with shapes that can achieve the entropy rate under a certain condition where the shape-pixel ratio in the encoder ...
Gangtao Xin +2 more
doaj +1 more source
Adaptation of the CCSDS 123.0-B-2 Standard for RGB Video Compression
The integration of video sensors on-board satellites is becoming a trend in the space industry, since they provide extra information in the temporal domain when compared with traditional remote sensing imaging acquisition equipment.
Yubal Barrios +3 more
doaj +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source

