Results 31 to 40 of about 7,582 (288)
Extremely confined gap plasmon modes: when nonlocality matters
Nature Communications, 2022 When approaching atomic-scale confinement of the electromagnetic radiation nonlocal effects are not negligible. Here the authors approach that regime, probing extremely confined gap plasmon modes by means of scanning near-field optical microscopy, and ...
Sergejs Boroviks +9 more
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Parameter-Free Fast Pixelwise Non-Local Means Denoising
Image Processing On Line, 2014 This article proposes a fast and open-source implementation of the well-known Non-Local Means (NLM) denoising algorithm, in its original pixelwise formulation.
Jacques Froment
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Gaussian Lifting for Fast Bilateral and Nonlocal Means Filtering
, 2020 Recently, many fast implementations of the bilateral and the nonlocal filters were proposed based on lattice and vector quantization, e.g. clustering, in higher dimensions.
Young, SI +2 more
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Versatile platform of nonlocal metasurfaces for both spectral and spatial control of light waves
Light: Science & Applications, 2022 Multifunctional nonlocal metasurfaces based on quasi-bound states in the continuum are experimentally demonstrated, which shapes the wavefronts at the resonant wavelengths while have no effect on other wavelengths.
Run Chen, Shuming Wang
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Fast Patchwise Nonlocal SAR Image Despeckling Using Joint Intensity and Structure Measures
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Nonlocal means synthetic aperture radar (SAR) image despeckling approaches have attracted much research attention. However, high computational burden always limits its application in practice, especially using complex similarity measures.
Dongxing Liang, Ming Jiang, Jinshan Ding
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Efficient nonlocal-means denoising using the SVD [PDF]
2008 15th IEEE International Conference on Image Processing, 2008 Nonlocal-means (NL-means) is an image denoising method that replaces each pixel by a weighted average of all the pixels in the image. Unfortunately, the method requires the computation of the weighting terms for all possible pairs of pixels, making it computationally expensive.
Jeff Orchard +2 more
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Infrared image denoising by nonlocal means filtering [PDF]
SPIE Proceedings, 2012 The recently introduced non-local means (NLM) image denoising technique broke the traditional paradigm according to which image pixels are processed by their surroundings. Non-local means technique was demonstrated to outperform state-of-the art denoising techniques when applied to images in the visible.
Barak Dee-Noor +3 more
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Spectral Nonlocal Restoration of Hyperspectral Images With Low-Rank Property
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015 Restoration is important in preprocessing hyperspectral images (HSI) to improve their visual quality and the accuracy in target detection or classification.
Rui Zhu, Mingzhi Dong, Jing-Hao Xue
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On Numerical Approximations of Fractional and Nonlocal Mean Field Games
Foundations of Computational Mathematics, 2022 AbstractWe construct numerical approximations for Mean Field Games with fractional or nonlocal diffusions. The schemes are based on semi-Lagrangian approximations of the underlying control problems/games along with dual approximations of the distributions of agents.
Indranil Chowdhury +2 more
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Sensitivity analysis of a scattering-based nonlocal means Despeckling Algorithm
European Journal of Remote Sensing, 2017 Synthetic Aperture Radar (SAR) images are greatly affected by the speckle noise. In order to improve SAR data readability by human interpreters and information extraction performed by computer programs, a despeckling preprocessing step is mandatory.
Alessio Di Simone +3 more
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