Results 61 to 70 of about 49,854 (268)
IEEE Access, 2020 Keeping in view the variety of the applications, image denoising still remains the unexplored territory for the researchers. There are many pros and cons in existing denoising algorithms.
Amandeep Singh +2 more
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Television images identification in the vision system basis on the mathematical apparatus of cubic normalized B-splines [PDF]
Serbian Journal of Electrical Engineering, 2017 The solution the task of television image identification is used in industry when creating autonomous robots and systems of technical vision. A similar problem also arises in the development of image analysis systems to function under the ...
Krutov Vladimir +2 more
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Advanced Materials, EarlyView.We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju +9 more
wiley +1 more source
Applied SciencesPhase wrapping is a common phenomenon in optical full-field imaging or measurement systems. It arises from large phase retardations and results in wrapped-phase maps that contain essential information about surface roughness and topology.
Muhammad Awais +4 more
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Scheduled denoising autoencoders
, 2014 We present a representation learning method that learns features at multiple different levels of scale. Working within the unsupervised framework of denoising autoencoders, we observe that when the input is heavily corrupted during training, the network tends to learn coarse-grained features, whereas when the input is only slightly corrupted, the ...
Geras, Krzysztof, Sutton, Charles
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Advanced Materials Technologies, EarlyView.A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn +2 more
wiley +1 more source
Segmentation‐enhanced gamma spectrum denoising based on deep learning
IET CommunicationsGamma spectrum denoising can reduce the adverse effects of statistical fluctuations of radioactivity, gamma ray scattering, and electronic noise on the measured gamma spectrum.
Xiangqun Lu +6 more
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Remote SensingOver the last decade, distributed acoustic sensing (DAS) has received growing attention in the field of seismic acquisition and monitoring due to its potential high spatial sampling rate, low maintenance cost and high resistance to temperature and ...
Xihao Gu +3 more
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Beilstein Journal of Nanotechnology, 2019 A novel method based on Bayesian compressed sensing is proposed to remove impulse noise from atomic force microscopy (AFM) images. The image denoising problem is transformed into a compressed sensing imaging problem of the AFM. First, two different ways,
Yingxu Zhang +5 more
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Frontiers in Neuroscience, 2018 Functional MRI acquisition is sensitive to subjects' motion that cannot be fully constrained. Therefore, signal corrections have to be applied a posteriori in order to mitigate the complex interactions between changing tissue localization and magnetic ...
Basile Pinsard +9 more
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