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Fast Terahertz Imaging Model Based on Group Sparsity and Nonlocal Self-Similarity [PDF]
Micromachines, 2022 In order to solve the problems of long-term image acquisition time and massive data processing in a terahertz time domain spectroscopy imaging system, a novel fast terahertz imaging model, combined with group sparsity and nonlocal self-similarity (GSNS),
Xiaozhen Ren +3 more
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Foveated Nonlocal Self-Similarity [PDF]
International Journal of Computer Vision, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alessandro Foi, Giacomo Boracchi
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Revisiting Nonlocal Self-Similarity from Continuous Representation
IEEE Transactions on Pattern Analysis and Machine IntelligenceNonlocal self-similarity (NSS) is an important prior that has been successfully applied in multi-dimensional data processing tasks, e.g., image and video recovery. However, existing NSS-based methods are solely suitable for meshgrid data such as images and videos, but are not suitable for emerging off-meshgrid data, e.g., point cloud and climate data ...
Yisi Luo, Xi-Le Zhao, Deyu Meng
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Atmosphere, 2019 Weather radar echo plays an important role in early warning and timely forecasting of severe weather. However, the radar echo may not be accurate enough to predict or analyze small-scale weather phenomenon due to the degradation of the observed radar. In
Xing Zhang +3 more
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Learning the Hybrid Nonlocal Self-Similarity Prior for Image Restoration
MathematicsAs an immensely important characteristic of natural images, the nonlocal self-similarity (NSS) prior has demonstrated great promise in a variety of inverse problems.
Wei Yuan +3 more
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Group sparsity residual constraint for image denoising with external nonlocal self-similarity prior [PDF]
Neurocomputing, 2018 Abstract Nonlocal image representation has been successfully used in many image-related inverse problems including denoising, deblurring and deblocking. However, most existing methods only consider the nonlocal self-similarity (NSS) prior of degraded observation image, and few methods use the NSS prior from natural images.
Zhiyuan Zha +2 more
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Foveated self-similarity in nonlocal image filtering [PDF]
Proceedings of SPIE, 2012 Nonlocal image filters suppress noise and other distortions by searching for similar patches at different locations within the image, thus exploiting the self-similarity present in natural images. This similarity is typically assessed by a windowed distance of the patches pixels.
Alessandro Foi
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Low-dose computed tomography image denoising using pixel level non-local self-similarity prior with non-local means for healthcare informatics [PDF]
Scientific ReportsLow-dose computed tomography (LDCT) has gained considerable attention for its ability to minimize patients’ exposure to radiation thereby reducing the associated cancer risks.
Dawa Chyophel Lepcha +6 more
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Total variation based image deblurring with nonlocal self-similarity constraint
Electronics Letters, 2011 An improved total variation (TV) based image deblurring method combining nonlocal (NL) self-similarity constraint is proposed. TV based image deblurring methods are effective in restoring image structures from blurred image data. However, they tend to over smooth the local image details.
Zhongwu Liu, L C Jiao
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Stable self-similar blow-up for a family of nonlocal transport equations [PDF]
Analysis & PDE, 2021 We consider a family of non-local problems that model the effects of transport and vortex stretching in the incompressible Euler equations. Using modulation techniques, we establish stable self-similar blow-up near a family of known self-similar blow-up solutions.
Elgindi, Tarek M. +2 more
openaire +3 more sources