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CVPR
2010
IEEE
13 years 7 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
2002
IEEE
14 years 9 months ago
Semi-fragile image authentication using generic wavelet domain features and ECC
In this paper we present a generic content-based solution targeting at authenticating image in a semi-fragile way, which integrates watermarking-based approach with signature-base...
Qibin Sun, Shih-Fu Chang
SIAMSC
2008
127views more  SIAMSC 2008»
13 years 7 months ago
Restoration of Chopped and Nodded Images by Framelets
In infrared astronomy, an observed image from a chop and nod process can be considered as the result of passing the original image through a highpass filter. Here we propose a rest...
Jian-Feng Cai, Raymond H. Chan, Lixin Shen, Zuowei...
MICCAI
2008
Springer
14 years 8 months ago
Rician Noise Removal by Non-Local Means Filtering for Low Signal-to-Noise Ratio MRI: Applications to DT-MRI
Diffusion-Weighted MRI (DW-MRI) is subject to random noise yielding measures that are different from their real values, and thus biasing the subsequently estimated tensors. The Non...
Nicolas Wiest-Daesslé, Sylvain Prima, Pierr...
ICCV
2009
IEEE
1318views Computer Vision» more  ICCV 2009»
15 years 19 days ago
Non-Local Sparse Models for Image Restoration
We propose in this paper to unify two different ap- proaches to image restoration: On the one hand, learning a basis set (dictionary) adapted to sparse signal descriptions has p...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...