Results 21 to 30 of about 3,387 (229)
Hybrid Sparsity Model for Fast Terahertz Imaging
Micromachines, 2021 In order to shorten the long-term image acquisition time of the terahertz time domain spectroscopy imaging system while ensuring the imaging quality, a hybrid sparsity model (HSM) is proposed for fast terahertz imaging in this paper, which incorporates ...
Xiaozhen Ren, Yanwen Bai, Yuying Jiang
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A Novel SAR Image Despeckling Method Based on Local Filter With Nonlocal Preprocessing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Owing to the characteristics of long distance and strong penetration, a synthetic aperture radar (SAR) imaging system could provide ground information with high resolution under a poor climate environment.
Chao Wang, Baolong Guo, Fangliang He
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Seismic Data Denoising Based on Sparse and Low-Rank Regularization
Energies, 2020 Seismic denoising is a core task of seismic data processing. The quality of a denoising result directly affects data analysis, inversion, imaging and other applications.
Shu Li +4 more
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Double-Constraint Inpainting Model of a Single-Depth Image
Sensors, 2020 In real applications, obtained depth images are incomplete; therefore, depth image inpainting is studied here. A novel model that is characterised by both a low-rank structure and nonlocal self-similarity is proposed. As a double constraint, the low-rank
Wu Jin, Li Zun, Liu Yong
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Image interpolation based on nonlocal self-similarity [PDF]
ScienceAsia, 2014 This paper presents an efficient method for the resolution enhancement of low resolution (LR) images. Inspired by the great success of nonlocal filtering, the proposed method interpolates a missing pixel by a nonlocal estimation which takes into account the self-similarity of images and the geometric duality between LR images and high resolution (HR ...
Qiang Guo +4 more
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Tensor train rank minimization with nonlocal self-similarity for tensor completion
Inverse Problems and Imaging, 2021 The tensor train (TT) rank has received increasing attention in tensor completion due to its ability to capture the global correlation of high-order tensors ($\textrm{order} >3$). For third order visual data, direct TT rank minimization has not exploited the potential of TT rank for high-order tensors.
Meng Ding 0002 +4 more
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Superresolution Reconstruction of Magnetic Resonance Images Based on a Nonlocal Graph Network
EAI Endorsed Transactions on Internet of Things, 2022 INTRODUCTION: High-resolution (HR) medical images are very important for doctors when diagnosing the internal pathological structures of patients and formulating precise treatment plans.
Yuanhang Li +3 more
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Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution
Frontiers in Neuroinformatics, 2022 Limited by hardware conditions, imaging devices, transmission efficiency, and other factors, high-resolution (HR) images cannot be obtained directly in clinical settings.
Huidi Jia +11 more
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Single-image superresolution based on local regression and nonlocal self-similarity [PDF]
Journal of Electronic Imaging, 2014 The challenge of learning-based superresolution (SR) is to predict the relationships between low-resolution (LR) patches and their corresponding high-resolution (HR) patches. By learning such relationships from external training images, the existing learning-based SR approaches are often affected by the relevance between the training data and the LR ...
Jing Hu, Yupin Luo
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Self-Similar Behavior of a Nonlocal Diffusion Equation with Time Delay
SIAM Journal on Mathematical Analysis, 2020 We study the asymptotic behaviour of solutions of a class of linear non-local measure-valued differential equations with time delay. Our main result states that the solutions asymptotically exhibit a parabolic like behaviour in the large times, that is precisely expressed in term of heat kernel.
Ducrot, Arnaud, Genadot, Alexandre
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