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» Adaptive Image Denoising by Mixture Adaptation
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ICIP
2000
IEEE
14 years 1 days ago
Chromaticity Diffusion
—A novel approach for color image denoising is proposed in this paper. The algorithm is based on separating the color data into chromaticity and brightness, and then processing e...
Bei Tang, Guillermo Sapiro, Vicent Caselles
CF
2009
ACM
14 years 2 months ago
Accelerating total variation regularization for matrix-valued images on GPUs
The advent of new matrix-valued magnetic resonance imaging modalities such as Diffusion Tensor Imaging (DTI) requires extensive computational acceleration. Computational accelera...
Maryam Moazeni, Alex A. T. Bui, Majid Sarrafzadeh
SIAMIS
2011
13 years 2 months ago
Gradient-Based Methods for Sparse Recovery
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
William W. Hager, Dzung T. Phan, Hongchao Zhang
CVPR
2011
IEEE
12 years 11 months ago
A Non-convex Relaxation Approach to Sparse Dictionary Learning
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an overcomplete basis set. Most existing approaches employ a...
Jianping Shi, Xiang Ren, Jingdong Wang, Guang Dai,...
TMI
2010
113views more  TMI 2010»
13 years 6 months ago
Multiscale Model of Liver DCE-MRI Towards a Better Understanding of Tumor Complexity
Abstract—The use of quantitative imaging for the characterization of hepatic tumors in MRI can improve the diagnosis and therefore the treatment of these life-threatening tumors....
Muriel Mescam, Marek Kretowski, Johanne Béz...