Results 11 to 20 of about 2,035,117 (267)

Global Total Variation Minimization [PDF]

open access: yesSIAM Journal on Numerical Analysis, 1999
Summary: The minimization of the total variation is an important tool of image processing. A lot of authors have addressed the problem and developed algorithms for image denoising. In this paper we present an alternative approach of the total variation minimization problem.
Dibos, Françoise, Koepfler, Georges
openaire   +3 more sources

Total roto-translational variation [PDF]

open access: yesNumerische Mathematik, 2019
We consider curvature depending variational models for image regularization, such as Euler's elastica. These models are known to provide strong priors for the continuity of edges and hence have important applications in shape-and image processing. We consider a lifted convex representation of these models in the roto-translation space: In this space ...
Chambolle, Antonin, Pock, Thomas
openaire   +4 more sources

Forward-Looking Super-Resolution Imaging for Sea-Surface Target with Multi-Prior Bayesian Method

open access: yesRemote Sensing, 2021
Traditional forward-looking super-resolution methods mainly concentrate on enhancing the resolution with ground clutter or no clutter scenes. However, sea clutter exists in the sea-surface target imaging, as well as ground clutter when the imaging scene ...
Weixin Li   +5 more
doaj   +1 more source

Total Variation on a Tree

open access: yesSIAM Journal on Imaging Sciences, 2016
accepted to SIAM Journal on Imaging Sciences (SIIMS)
Kolmogorov, Vladimir   +2 more
openaire   +3 more sources

On the total variation of the Jacobian

open access: yesJournal of Functional Analysis, 2004
Let \(\Omega\) be an open subset of \({\mathbb R}^2\), and \(u=(u^1,u^2)\in L^\infty_{\text{ loc}}(\Omega;{\mathbb R}^2)\cap W^{1,p}(\Omega;{\mathbb R}^2)\) for some \(p>1\). In the paper, a comparison is carried out among the classical Jacobian determinant \(\det Du\) defined a.e. in \(\Omega\), the distributional Jacobian determinant \(\text{ Det} Du\
I. FONSECA, N. FUSCO, MARCELLINI, PAOLO
openaire   +4 more sources

A new inequality for the Riemann-Stieltjes integrals driven by irregular signals in Banach spaces

open access: yesJournal of Inequalities and Applications, 2018
We prove an inequality of the Loéve-Young type for the Riemann-Stieltjes integrals driven by irregular signals attaining their values in Banach spaces, and, as a result, we derive a new theorem on the existence of the Riemann-Stieltjes integrals driven ...
Rafał M Łochowski
doaj   +1 more source

Dead-Time Compensation for the First-Order Dead-Time Processes: Towards a Broader Overview

open access: yesMathematics, 2021
The article reviews the results of a number of recent papers dealing with the revision of the simplest approaches to the control of first-order time-delayed systems.
Mikulas Huba   +3 more
doaj   +1 more source

The Shannon Total Variation

open access: yesJournal 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
openaire   +2 more sources

Semisoft Generalized Total Variation Minimization for Image Reconstruction in Computed Tomography

open access: yesIEEE Access, 2017
The generalized l1 greedy algorithm was recently proposed and shown to outperform the standard reweighted l1-minimization and l1-greedy algorithms for image reconstruction in computed tomography (CT).
Xiezhang Li   +3 more
doaj   +1 more source

Total Variation Isoperimetric Profiles [PDF]

open access: yesSIAM Journal on Applied Algebra and Geometry, 2019
Applications such as political redistricting demand quantitative measures of geometric compactness to distinguish between simple and contorted shapes. While the isoperimetric quotient, or ratio of area to perimeter squared, is commonly used in practice, it is sensitive to noisy data and irrelevant geographic features like coastline.
Daryl R. DeFord   +3 more
openaire   +4 more sources

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