Results 61 to 70 of about 3,598 (204)

Group‐Patch Joint Compression: Compressing Dynamic B0 and Static RF Spatial Modulations Across k‐Space Subregion Groups for Highly Accelerated MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To accelerate MRI further, rapid B0 field modulations can be applied during oversampled readout to capture additional physical information, as in Wave‐CAIPI/FRONSAC/local B0 coils modulation techniques. These methods, however, turn the Fourier readout into a non‐Fourier‐encoded dimension that cannot be reconstructed by FFT, posing ...
Rui Tian, Klaus Scheffler
wiley   +1 more source

Practical considerations for pathologists when selecting digital pathology systems: an ESDIP guide

The Journal of Pathology, EarlyView.
Abstract The implementation of digital pathology (DP) has been reported across academic, public, and private laboratory settings, providing valuable insights into workflow transformation. However, comparatively little guidance exists on how DP systems should be evaluated prior to acquisition and deployment.
Diana Montezuma, Vincenzo L'Imperio, David Ameisen, Rita Carvalho, Peter Boor, Sara P Oliveira, Nadieh Khalili, Inti Zlobec, Norman Zerbe, Jordi Temprana‐Salvador   +9 more
wiley   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Probability Prediction Network With Checkerboard Prior for Lossless Remote Sensing Image Compression

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Lossless remote sensing image compression aims to reduce the storage size of images without any information loss, ensuring that the decompressed image is identical to the original one.
Xuxiang Feng, Enjia Gu, Yongshan Zhang, An Li   +3 more
doaj   +1 more source

An Image Lossless Compression Patent

Computer and Information Science, 2010
The present general lossless compression algorithm is not effective for the compression effect of JPEG files. In this article, the lossless compression method combining the shuffling algorithm with the lossless compression algorithm and a new shuffling algorithm are proposed, and this new algorithm could compresses the JPEG files without losses, and ...
openaire   +2 more sources

Supersampled Scanning Transmission X‐Ray Microscopy for High‐Resolution Vibration‐Independent Time‐Resolved Imaging

Small, EarlyView.
ABSTRACT Scanning transmission x‐ray microscopy (STXM) is a nanoscale imaging technique that can utilize several powerful contrast mechanisms for the quantitative mapping of chemical and physical materials properties. Spatial resolutions down to 7 nm at the soft x‐ray energy range have been demonstrated.
Simone Finizio, Benjamin Watts, Benedikt Rösner, Tim A. Butcher, Sebastian Wintz, Markus Weigand, Jörg Raabe   +6 more
wiley   +1 more source

DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu, Xuanyu Zhang, Xiandong Meng, Jian Zhang   +3 more
wiley   +1 more source

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü, Mingyu Guan, Chenglong He, Chen Chen, Xiangguang Dai, Man‐Fai Leung, Wei Zhang   +6 more
wiley   +1 more source

JPEG and BPG visually lossless image compression via KonJND-1k database

Vojnotehnički Glasnik
Introduction/purpose: This paper presents the results of the research on visually lossless image compression which is of particular interest because it achieves a high degree of compression, while the visual quality of the image is not impaired, i.e ...
Boban P. Bondžulić, Nenad M. Stojanović, Vladimir V. Lukin, Sergii S. Kryvenko   +3 more
doaj   +1 more source

An Overview of High‐Temperature Superconducting Cables in DC Systems: Unlocking Potential for High‐Voltage DC Networks

High Voltage, EarlyView.
ABSTRACT This paper provides an overview of high‐temperature superconducting (HTS) cables in DC systems, with a focus on their deployment in high‐voltage DC (HVDC) networks. The assessment of HTS cable properties—such as extremely low electrical resistance, high current‐carrying capacity and a compact geometry—and their comparison with those of ...
Mohammad Hossein Mousavi, Hassan Moradi, Kumars Rouzbehi   +2 more
wiley   +1 more source