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IPPS
2006
IEEE
14 years 5 months ago
Simulation of a hybrid model for image denoising
We propose a new model for image denoising which is a hybrid of the total variation model and the Laplacian mean-curvature model. An efficient numerical procedure to compute the h...
Ricolindo Cariño, Ioana Banicescu, H. Lim, ...
PAMI
2006
109views more  PAMI 2006»
13 years 10 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...
TIP
2011
106views more  TIP 2011»
13 years 5 months ago
Practical Bounds on Image Denoising: From Estimation to Information
—Recently, in a previous work, we proposed a way to bound how well any given image can be denoised. The bound was computed directly from the noise-free image that was assumed to ...
Priyam Chatterjee, Peyman Milanfar
CVPR
2010
IEEE
13 years 11 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ICIP
2008
IEEE
14 years 5 months ago
Spatio-temporal video interpolation and denoising using motion-assisted steering kernel (MASK) regression
In this paper, we extend a (2-D) data-adaptive steering kernel regression framework for image processing to a (3-D) spatio-temporal framework for processing video. In particular, ...
Hiroyuki Takeda, Peter van Beek, Peyman Milanfar