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» From Local Kernel to Nonlocal Multiple-Model Image Denoising
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SCALESPACE
2007
Springer
13 years 11 months ago
Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal
Abstract. Partial Differential equations (PDE), wavelets-based methods and neighborhood filters were proposed as locally adaptive machines for noise removal. Recently, Buades, Col...
Charles Kervrann, Jérôme Boulanger, P...
NIPS
2004
13 years 6 months ago
Non-Local Manifold Tangent Learning
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
Yoshua Bengio, Martin Monperrus
SCIA
2007
Springer
120views Image Analysis» more  SCIA 2007»
13 years 11 months ago
Evaluating a General Class of Filters for Image Denoising
Abstract. Recently, an energy-based unified framework for image denoising was proposed by Mr´azek et al. [10], from which existing nonlinear filters such as M-smoothers, bilater...
Luis Pizarro, Stephan Didas, Frank Bauer, Joachim ...
JMLR
2010
147views more  JMLR 2010»
13 years 4 days ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
PAMI
2006
109views more  PAMI 2006»
13 years 5 months ago
Edge-Preserving Image Denoising and Estimation of Discontinuous Surfaces
In this paper, we are interested in the problem of estimating a discontinuous surface from noisy data. A novel procedure for this problem is proposed based on local linear kernel ...
Irène Gijbels, Alexandre Lambert, Peihua Qi...