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Noise simulation
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Several kind of noise can be found in real images, mostly depending on the modality of acquisition. It is often useful to be able to simulate that noise, for example to test the behavior of an algorithm in the presence of a known amount of noise. This [...]

Anomalous Diffusion Paradigm for Image Denoising Process
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Anisotropic and isotropic diffusion equations have been extensively applied on biomedical image processing for many years and a great diversity of algorithm have been proposed by the scientific community. Here, it is available a recent new implementation of [...]

Perturbing Mesh Vertices with Additive Gaussian Noise
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This brief document provides an introduction to an external ITK module, DVMeshNoise. This module provides classes for perturbing the positions of the vertices of either an itk::Mesh or itk::QuadEdgeMesh with Gaussian noise. This may be useful in testing the [...]

Implementation of local structure tensor and enhancement anisotropic diffusion filters in ITK
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This paper describes implementation of local structure tensor and anisotropic enhancement diffusion filters using the Insight Toolkit. The anisotropic diffusion filters are implemented using ITK's finite difference solver framework. The filters are used to [...]


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