Results 81 to 90 of about 19,283,190 (228)
Optimizing parametric total variation models [PDF]
2009 IEEE 12th International Conference on Computer Vision, 2009 One of the key factors for the success of recent energy minimization methods is that they seek to compute global solutions. Even for non-convex energy functionals, optimization methods such as graph cuts have proven to produce high-quality solutions by iterative minimization based on large neighborhoods, making them less vulnerable to local minima. Our
Strandmark, Petter +2 more
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Transformed-Domain Robust Multiple-Exposure Blending With Huber Loss
IEEE Access, 2019 Pixel-domain weighting methods for multiple-exposure blending can efficiently remove noise and under-/over-exposed pixels simultaneously in high dynamic range (HDR) image generation.
Ryo Matsuoka +2 more
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Computerized tomography with total variation and with shearlets [PDF]
Inverse Problems, 2017 To reduce the x-ray dose in computerized tomography (CT), many constrained optimization approaches have been proposed aiming at minimizing a regularizing function that measures lack of consistency with some prior knowledge about the object that is being imaged, subject to a (predetermined) level of consistency with the detected attenuation of x-rays ...
Edgar Garduño, Gabor T. Herman
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Viewpoint Selection for 3D-Games with f-Divergences
EntropyIn this paper, we present a novel approach for the optimal camera selection in video games. The new approach explores the use of information theoretic metrics f-divergences, to measure the correlation between the objects as viewed in camera frustum and ...
Micaela Y. Martin +2 more
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A Direct Material Reconstruction Method for DECT Based on Total Variation and BM3D Frame
IEEE Access, 2019 Dual-energy computed tomography (DECT) has attracted the attention of clinical researchers because of its outstanding capabilities to identify and decompose materials.
Wenkun Zhang +7 more
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Total Variation Denoising in $l^1$ Anisotropy [PDF]
SIAM Journal on Imaging Sciences, 2017 We aim at constructing solutions to the minimizing problem for the variant of Rudin-Osher-Fatemi denoising model with rectilinear anisotropy and to the gradient flow of its underlying anisotropic total variation functional. We consider a naturally defined class of functions piecewise constant on rectangles (PCR).
Michal Lasica +2 more
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When total variation is additive [PDF]
Proceedings of the American Mathematical Society, 1982 Let f f and g g be continuous functions of bounded variation on [ 0 , 1 ] [0,1] . We use the Dini derivates of f f and g g to give a necessary and sufficient condition that the equation V ( f +
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Regular Dependence of Total Variation on Parameters [PDF]
Real Analysis Exchange, 2004 If \(X\) is an interval, \(Y\) -- a metric space, \(T\) -- a set of parameters, and \(f: T\times X\to Y\) a function, then it can happen that \(f\) is measurable with respect to some \(\sigma\)-algebra while the function \(v:T\to X\), defined by \(v(t)\) equals to the total variation of \(f(t,\cdot)\), is not measurable.
Balcerzak, M., Kucia, A., Nowak, A.
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Multigrid Methods for Total Variation
Deanonymised version of the article submitted (and later accepted) to Scale-Space and Variational Methods (SSVM) 2025.
Felipe Guerra, Tuomo Valkonen
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Maximum variation of total risk [PDF]
Statistics & Probability Letters, 1996 8 ...
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