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Meshless techniques for anisotropic diffusion [PDF]
Applied Mathematics and Computation, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
MAZZIA, ANNAMARIA +2 more
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GVF-based anisotropic diffusion models [PDF]
, 2006 In this paper, the gradient vector flow fields are introduced in image restoration. Within the context of flow fields, the shock filter, mean curvature flow, and Perona-Malik equation are reformulated.
Chua, Chin-seng, Yu, Hongchuan
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Anisotropic diffusion-limited aggregation [PDF]
Physical Review E, 2004 Using stochastic conformal mappings we study the effects of anisotropic perturbations on diffusion limited aggregation (DLA) in two dimensions. The harmonic measure of the growth probability for DLA can be conformally mapped onto a constant measure on a unit circle.
Popescu, M., Hentschel, H., Family, F.
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Perceptual Color Image Smoothing via a New Region-Based PDE Scheme
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2013 In this paper, we present a new color image regularization method using a rotating smoothing filter. This approach combines a method of pixel classification, which roughly determines if a pixel belongs to a homogenous region or an edge with an ...
Magnier Baptiste +2 more
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Local Entropy-Based Coupled Anisotropic Diffusion for Detail-And Edge-Preserving Smoothing
Discrete Dynamics in Nature and Society, 2023 It is important in image restoration to remove noise while preserving sharp edges and fine details such as blurred thin edges and low-contrast fine feature.
De Zhao, Lan Chen
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The Insight Journal, 2014 Anisotropic Non-Linear Diffusion is a powerful image processing technique, which allows to simultaneously remove the noise and enhance sharp features in two or three dimensional images. Anisotropic Diffusion is understood here in the sense of Weickert, meaning that diffusion tensors are anisotropic and reflect the local orientation of image features ...
Mirebeau, Jean-Marie +3 more
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Preserving monotonicity in anisotropic diffusion [PDF]
Journal of Computational Physics, 2007 We show that standard algorithms for anisotropic diffusion based on centered differencing (including the recent symmetric algorithm) do not preserve monotonicity. In the context of anisotropic thermal conduction, this can lead to the violation of the entropy constraints of the second law of thermodynamics, causing heat to flow from regions of lower ...
Prateek Sharma, Gregory W. Hammett
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Smart interpolation by anisotropic diffusion [PDF]
12th International Conference on Image Analysis and Processing, 2003.Proceedings., 2004 To enlarge a digital image from a single frame preserving the perceptive cues is a relevant research issue. The best known algorithms take into account the presence of edges in the luminance channel, to interpolate correctly the samples/pixels of the original image.
BATTIATO, SEBASTIANO +2 more
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Detection and modeling of non-Gaussian apparent diffusion coefficient profiles in human brain data [PDF]
, 2002 This work details the observation of non-Gaussian apparent diffusion coefficient (ADC) profiles in multi-direction, diffusion-weighted MR data acquired with easily achievable imaging parameters (b 1000 s/mm2).
BARKER, G. J.; id_orcid +5 more
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Roussos-Maragos Tensor-Driven Diffusion for Image Interpolation
Image Processing On Line, 2011 Roussos and Maragos proposed a method for image interpolation in "Reversible interpolation of vectorial images by an anisotropic diffusion-projection PDE." An earlier version was also published in conference paper (Roussos and Maragos, "Vector-Valued ...
Pascal Getreuer
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