Results 41 to 50 of about 2,210,509 (307)
Learning Consistent Discretizations of the Total Variation [PDF]
SIAM Journal on Imaging Sciences, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chambolle, Antonin, Pock, Thomas
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An MBO method for modularity optimisation based on total variation and signless total variation
European Journal of Applied MathematicsIn network science, one of the significant and challenging subjects is the detection of communities. Modularity [1] is a measure of community structure that compares connectivity in the network with the expected connectivity in a graph sampled from a ...
Zijun Li, Yves van Gennip, Volker John
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Nonlocal Total Variation for Image Denoising [PDF]
, 2012 International audienceA nonlocal total variation (NLTV) scheme for image debluring has already been proposed in the literature. The goal of the present article is to study this scheme in the context of image denoising.
Haijuan Hu +3 more
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IEEE Access, 2020 Fast neutron computed tomography (FNCT) generally needs a longer measurement time because of low source strength and low detection efficiency. In order to reduce measurement time, methods of reducing single measurement time and the numbers of projection ...
Sangang Li +5 more
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Weighted Group Sparsity-Constrained Tensor Factorization for Hyperspectral Unmixing
Remote Sensing, 2022 Recently, unmixing methods based on nonnegative tensor factorization have played an important role in the decomposition of hyperspectral mixed pixels.
Xinxi Feng, Le Han, Le Dong
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, 2012 Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
Ilker Bayram, Mustafa E. Kamasak
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A Clearer Picture of Total Variation Blind Deconvolution [PDF]
, 2015 Blind deconvolution is the problem of recovering a sharp image and a blur kernel from a noisy blurry image. Recently, there has been a significant effort on understanding the basic mechanisms to solve blind deconvolution.
Favaro, Paolo, Perrone, Daniele
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On Approximating Total Variation Distance
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023 Total variation distance (TV distance) is a fundamental notion of distance between probability distributions. In this work, we introduce and study the problem of computing the TV distance of two product distributions over the domain {0,1}^n. In particular, we establish the following results. 1. The problem of exactly computing the TV distance of two
Arnab Bhattacharyya 0001 +5 more
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Guided Image Filtering Reconstruction Based on Total Variation and Prior Image for Limited-Angle CT
IEEE Access, 2020 For limited-angle computed tomography (CT) image reconstruction, the classical total variation (TV) based algorithms suffer from the limited-angle artifacts, because TV only used the gradient information of the image.
Zhaoqiang Shen +3 more
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IEEE AccessSolving total variation problems is fundamentally important for many computer vision tasks, such as image smoothing, optical flow estimation and 3D surface reconstruction. However, the traditional iterative solvers require a large number of iterations to
Yuanhao Gong
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