Results 41 to 50 of about 17,556,704 (381)
Relaxed Variable Metric Primal-Dual Fixed-Point Algorithm with Applications
Mathematics, 2022 In this paper, a relaxed variable metric primal-dual fixed-point algorithm is proposed for solving the convex optimization problem involving the sum of two convex functions where one is differentiable with the Lipschitz continuous gradient while the ...
Wenli Huang +3 more
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Directional total generalized variation regularization [PDF]
BIT Numerical Mathematics, 2019 In inverse problems, prior information and a priori-based regularization techniques play important roles. In this paper, we focus on image restoration problems, especially on restoring images whose texture mainly follow one direction. In order to incorporate the directional information, we propose a new directional total generalized variation (DTGV ...
Rasmus Dalgas Kongskov +2 more
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Higher-order total variation approaches and generalisations [PDF]
Inverse Problems, 2019 Over the last decades, the total variation (TV) has evolved to be one of the most broadly-used regularisation functionals for inverse problems, in particular for imaging applications.
K. Bredies, M. Holler
semanticscholar +1 more source
Journal of Inequalities and Applications, 2017 A weighted Bregman-Gradient Projection denoising method, based on the Bregman iterative regularization (BIR) method and Chambolle’s Gradient Projection method (or dual denoising method) is established.
Beilei Tong
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Image Restoration with Fractional-Order Total Variation Regularization and Group Sparsity
Mathematics, 2023 In this paper, we present a novel image denoising algorithm, specifically designed to effectively restore both the edges and texture of images. This is achieved through the use of an innovative model known as the overlapping group sparse fractional-order
Jameel Ahmed Bhutto +2 more
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Continuum limit of total variation on point clouds [PDF]
, 2014 We consider point clouds obtained as random samples of a measure on a Euclidean domain. A graph representing the point cloud is obtained by assigning weights to edges based on the distance between the points they connect.
Slepčev, Dejan +1 more
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Journal of Mathematical Imaging and Vision, 2017 Discretization schemes commonly used for total variation regularization lead to images that are difficult to interpolate, which is a real issue for applications requiring subpixel accuracy and aliasing control. In the present work, we reconciliate total variation with Shannon interpolation and study a Fourier-based estimate that behaves much better in ...
Abergel, Rémy, Moisan, Lionel
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Sensors, 2018 As the application of a coal mine Internet of Things (IoT), mobile measurement devices, such as intelligent mine lamps, cause moving measurement data to be increased.
Gang Wang, Zhikai Zhao, Yongjie Ning
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Total variation regularization of multi-material topology optimization [PDF]
, 2018 This work is concerned with the determination of the diffusion coefficient from distributed data of the state. This problem is related to homogenization theory on the one hand and to regularization theory on the other hand.
Clason, Christian +2 more
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MRI Super-Resolution using Multi-Channel Total Variation [PDF]
, 2018 This paper presents a generative model for super-resolution in routine clinical magnetic resonance images (MRI), of arbitrary orientation and contrast.
Ashburner, John +3 more
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