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» On Sparsity and Overcompleteness in Image Models
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CVPR
2010
IEEE
14 years 4 months ago
Estimation of Image Bias Field with Sparsity Constraints
We propose a new scheme to estimate image bias field through introducing two sparsity constraints. One is that the bias-free image has concise representation with image gradients o...
Yuanjie Zheng and James C. Gee
CVPR
2011
IEEE
13 years 3 months ago
Sparse Reconstruction Cost for Abnormal Event Detection
We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given an over-complete normal basis set (e.g., an image sequence or a collection of local s...
Yang Cong, Junsong Yuan, Ji Liu
CVPR
2010
IEEE
14 years 3 months ago
Automatic Image Annotation Using Group Sparsity
Automatically assigning relevant text keywords to images is an important problem. Many algorithms have been proposed in the past decade and achieved good performance. Efforts have...
Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Y...
ISBI
2009
IEEE
14 years 2 months ago
Integrated Modeling and Reconstruction with Sparsity Constraints for FDOT
We present a numerical framework for Fluorescence Diffuse Optical Tomography (fDOT) that combines a forward model together with an iterative reconstruction procedure. Using rapid ...
Jean-Charles Baritaux, Matthieu Guerquin-Kern, Mic...
ICASSP
2011
IEEE
12 years 11 months ago
Efficient image reconstruction under sparsity constraints with application to MRI and bioluminescence tomography
Most bioimaging modalities rely on indirect measurements of the quantity under investigation. The image is obtained as the result of an optimization problem involving a physical m...
Matthieu Guerquin-Kern, Jean-Charles Baritaux, Mic...