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» The Use of Residuals in Image Denoising
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ICIP
2008
IEEE
14 years 10 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
ICML
2006
IEEE
14 years 9 months ago
Learning high-order MRF priors of color images
In this paper, we use large neighborhood Markov random fields to learn rich prior models of color images. Our approach extends the monochromatic Fields of Experts model (Roth &...
Alex J. Smola, Julian John McAuley, Matthias O. Fr...
NIPS
2003
13 years 10 months ago
Image Reconstruction by Linear Programming
— One way of image denoising is to project a noisy image to the subspace of admissible images derived, for instance by PCA. However, a major drawback of this method is that all p...
Koji Tsuda, Gunnar Rätsch
ICCV
2011
IEEE
12 years 8 months ago
Gradient-based learning of higher-order image features
Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
Roland Memisevic
SCIA
2011
Springer
216views Image Analysis» more  SCIA 2011»
12 years 11 months ago
Triangulating a Plane
Abstract. In this theoretical paper we consider the problem of accurately triangulating a scene plane. Rather than first triangulating a set of points and then fitting a plane to...
Carl Olsson, Anders Eriksson