Results 81 to 90 of about 3,387 (229)

Super-Resolution of Brain MRI Images Using Overcomplete Dictionaries and Nonlocal Similarity

open access: yesIEEE Access, 2019
Recently, the magnetic resonance imaging (MRI) images have limited and unsatisfactory resolutions due to various constraints such as physical, technological, and economic considerations.
Yinghua Li   +4 more
doaj   +1 more source

Efficient Spatial Pyramid of Dilated Convolution and Bottleneck Network for Zero-Shot Super Resolution

open access: yesIEEE Access, 2020
Most CNN-based super-resolution networks require a large number of samples for model training, which may cause overfitting when trained on a specific set, and the internal self-similarity of the test image in this way has also been discarded.
Juan Du   +5 more
doaj   +1 more source

Image denoising using group sparsity residual and external nonlocal self-similarity prior [PDF]

open access: yes2017 IEEE International Conference on Image Processing (ICIP), 2017
Nonlocal image representation has been successfully used in many image-related inverse problems including denoising, deblurring and deblocking. However, a majority of reconstruction methods only exploit the nonlocal self-similarity (NSS) prior of the degraded observation image, it is very challenging to reconstruct the latent clean image. In this paper
Zhiyuan Zha   +4 more
openaire   +2 more sources

Long‐Range Interactions in Topological Superconducting Systems: A Mini Review

open access: yesAdvanced Physics Research, EarlyView.
Long‐range interacting quantum systems are surveyed in this review, with an emphasis on the long‐range topological superconductor and its variants. Long‐range interactions decaying in a power‐law manner can lead to exotic phenomena that finds no analogue in short‐range regimes.
Juntong Ren, Haifeng Lü
wiley   +1 more source

Hyperspectral Image Denoising Using Global Weighted Tensor Norm Minimum and Nonlocal Low-Rank Approximation

open access: yesRemote Sensing, 2019
A hyperspectral image (HSI) contains abundant spatial and spectral information, but it is always corrupted by various noises, especially Gaussian noise.
Xiangyang Kong   +3 more
doaj   +1 more source

A Probabilistic Model-Based Method With Nonlocal Filtering for Robust Magnetic Resonance Imaging Reconstruction

open access: yesIEEE Access, 2020
Existing model-based or data-driven methods have achieved a high-quality reconstruction in compressive sensing magnetic resonance imaging (CS-MRI). However, most methods are designed for a specific type of sampling mask or sampling rate while ignoring ...
Zhonghua Xie, Lingjun Liu, Cui Yang
doaj   +1 more source

Guiding and Manipulating Light Fields in Microstructured Liquid Crystals

open access: yesAdvanced Physics Research, EarlyView.
This review summarizes recent advances in guided‐wave optics enabled by microstructured liquid crystal (LC) devices, covering their fundamental material properties, key degree of freedom for dynamic light field manipulations. The advances of linear guided‐wave optics, nonlinear‐optics with spatial optical solitons, and microlasers in LC‐based devices ...
Shan‐shan Chang   +2 more
wiley   +1 more source

A relationship between rational and multi-soliton solutions of the BKP hierarchy [PDF]

open access: yes, 2005
We consider a special class of solutions of the BKP hierarchy which we call $\tau$-functions of hypergeometric type. These are series in Schur $Q$-functions over partitions, with coefficients parameterised by a function of one variable $\xi$, where the ...
Orlov, A.Y., Nimmo, J.J.C.
core   +1 more source

Internationalization and ESG Controversies: Do Foreign Directors on Corporate Boards Matter?

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines the relationship between internationalization and environmental, social, and governance (ESG) controversies, focusing on whether foreign directors on corporate boards influence this relationship. Drawing on resource dependence theory, we argue that internationalization increases ESG controversies due to the complexity of ...
Mohamed Elsayed   +4 more
wiley   +1 more source

The Future of Foundation Machine Learning Potentials and DFT in Homogeneous Catalysis: Competition or Synergy?

open access: yesChemistry – A European Journal, EarlyView.
Machine‐learning potentials are increasingly taking on the exploratory tasks of homogeneous catalysis, enabling rapid conformer sampling and reaction‐space mapping. However, when selectivity depends on subtle electronic effects, electronic‐structure methods remain essential.
Maxime Ferrer   +3 more
wiley   +1 more source

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