Image filtering
Parameterless discrete regularization on graphs for color image filtering
... of image pro- cessing ...as image filtering and image ...is image filtering and a lot of authors have proposed color image filtering with PDEs ...an image ...
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Colour image filtering with component-graphs
... grey-level image processing, also offers opportunities to develop efficient tools for multivalued – and in particular, colour – ...for image filtering and segmentation ...original image ...
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SAR Image Filtering Based on the Heavy-Tailed Rayleigh Model
... ratio image [33], which is the ratio of the original image (speckled) by the denoised ...the image where speckle is fully developed, this ratio should have the characteristics of pure ...ratio ...
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Image filtering with advectors
... Terms— filtering, denoising, edge-enhancement, stochastic filtering, shock filter ...to image processing for more than 30 ...Gaussian filtering and the isotropic heat partial differential ...
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A Nonlinear Entropic Variational Model for Image Filtering
... Figure 9 displays the results of filtering the noisy image shown in Figure 9b by Huber with optimal k = 1.345, entropic, total variation, and improved entropic gradient descent flows.. Q[r] ...
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Image Filtering Using Morphological Amoebas
... Keywords: Anisotropic filters, noise reduction, morphological filters, color filters 1. Introduction Noise is possibly the most annoying problem in the field of image process- ing. There are two ways to work ...
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Image filtering using morphological amoebas
... in. This is why most modern renderers in
lude a omplex transparen
y and shading model that makes it possible to peek far inside the image to display the interesting obje
ts. T o make a quantitative analysis ...
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Ordering Partial Partitions for Image Segmentation and Filtering: Merging, Creating and Inflating Blocks
... to image segmentation and fil- tering ...to image segmentation and filtering ...in image filtering, in par- ticular with component trees, is also ...
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Fractional and seasonal filtering
... Fractional and Seasonal Filtering L. Ferrara ∗ and D. Guégan † Abstract We introduce in this study a new strategy to model simultaneously per- sistence and seasonality inside economic data using different ...
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Approximations for nonlinear filtering
... The objective of this paper is to show how recent work on nonlinear filtering can give qualitative insight into practical nonlinear filtering and suggest approximation [r] ...
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Multivalued component-tree filtering
... Some results of these two antiextensive filterings are de- picted in Fig. 4. As stated above, the large size of satellite images, and their high resolution results in classification maps that can be impaired by semantic ...
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Tractography filtering using autoencoders.
... tractography filtering. We have dubbed our method FINTA, Filtering in Tractography using ...streamline filtering tasks without the need of having to re-train the ...
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Filtering by ULP Maximum
... executions and do not rely on symbolic reasoning. Thus, they cannot be used to study path feasibility, i.e. to decide whether a possible execution path is feasible or not in the program. In addition, these techniques can ...
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Filtering for Subgraph Isomorphism
... our filtering: it first introduces the concept of labeling, and shows how labelings can be used for filtering; it then shows that labelings can be iteratively strengthened by adding information from labels ...
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Multiple Quadrature Kalman Filtering
... (58) where is a parameter used to tune the nonlinearity of the func- tion and . With this setup, we compared the Root Mean Square Error (RMSE) of 6 nonlinear filters in their square-root version (i.e., with enhanced ...
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A note on Furstenberg's filtering problem
... 2 R. GARBIT 2. Probabilistic Background From a technical point of view, the necessity of the integrability assump- tion in Theorem 1.1 is purely a probabilistic question. In the course of the proof of the ...
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Concurrent filtering and smoothing
... A navigation solution requires constant processing time, while loop closures require at least linear time in the size of the loop; hence parallelization is needed. Klein and Murray [11] proposed parallel tracking and ...
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Two sides tangential filtering decomposition
... By assuming each of the preconditioners is derived from a splitting of A, the explicit forms of the composite preconditioners are discussed. Based on the ex- plicit form and certain assumptions, we show that the ...
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Adaptive bilateral filtering for range images
... To the best of our knowledge, previous methods for filtering noise out of range images either target a single type of range cameras [2], or do not adapt to local noise as in the case[r] ...
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Multisource Discrimination Using IIR Volterra Filtering
... As a consequence of this remark, the algorithm which is proposed is based on the prediction of the module of the observed signal conditionally to the number of modulation supposed.. The [r] ...
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