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» Fundamental limits of image denoising: Are we there yet
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ICPR
2010
IEEE
13 years 5 months ago
Local Jet Based Similarity for NL-Means Filtering
Reducing the dimension of local descriptors in images is useful to perform pixels comparison faster. We show here that, for enhancing and optimising the computation of the NL-mean...
Antoine Manzanera
SIAMIS
2008
141views more  SIAMIS 2008»
13 years 7 months ago
A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
We are motivated by a recently developed nonlinear inverse scale space method for image denoising [5, 6], whereby noise can be removed with minimal degradation. The additive noise ...
Jianing Shi, Stanley Osher
JMIV
2007
116views more  JMIV 2007»
13 years 7 months ago
Viscosity Solutions of a Level-Set Method for Anisotropic Geometric Diffusion in Image Processing
We discuss the existence of viscosity solutions for a class of anisotropic level-set methods which can be seen as an extension of the mean-curvature motion with a nonlinear anisot...
Tobias Preusser
BLISS
2008
IEEE
14 years 2 months ago
HLAC Approach to Automatic Object Counting
Counting (identical) objects in images is a simple yet fundamental recognition task that requires exhaustive human effort. Automation of this task would reduce the human load sign...
Takumi Kobayashi, Tadaaki Hosaka, Shu Mimura, Taka...
IWCM
2004
Springer
14 years 1 months ago
Divide-and-Conquer Strategies for Estimating Multiple Transparent Motions
Abstract. Motion estimation is essential in a variety of image processing and computer vision tasks, like video coding, tracking, directional filtering and denoising, scene analys...
Cicero Mota, Ingo Stuke, Til Aach, Erhardt Barth