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ECCV
2006
Springer
14 years 7 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
IJCV
2010
206views more  IJCV 2010»
13 years 3 months ago
From Local Kernel to Nonlocal Multiple-Model Image Denoising
Abstract We review the evolution of the nonparametric regression modeling in imaging from the local Nadaraya-Watson kernel estimate to the nonlocal means and further to transform-d...
Vladimir Katkovnik, Alessandro Foi, Karen Egiazari...
DPHOTO
2010
360views Hardware» more  DPHOTO 2010»
13 years 6 months ago
Signal-dependent raw image denoising using sensor noise characterization via multiple acquisitions
Accurate noise level estimation is essential to assure good performance of noise reduction filters. Noise contaminating raw images is typically modeled as additive white and Gauss...
Angelo Bosco, Arcangelo Bruna, D. Giacalone, Sebas...
ICIP
2003
IEEE
14 years 6 months ago
PDE-based denoising of complex scenes using a spatially-varying fidelity term
The widely used denoising algorithms based on nonlinear diffusion, such as Perona-Malik and total variation denoising, modify images toward piecewise constant functions. Though ed...
Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
ICIP
2003
IEEE
14 years 6 months ago
Local regularity-based image denoising
We present an approach for image denoising based on the analysis of the local H?older regularity. The method takes the point of view that denoising may be performed by increasing ...
Jacques Lévy Véhel, Pierrick Legrand