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ICIP
2007
IEEE
14 years 10 months ago
Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
ICASSP
2011
IEEE
13 years 9 days 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...
CRV
2004
IEEE
226views Robotics» more  CRV 2004»
14 years 9 days ago
Inter-Image Statistics for Scene Reconstruction
We present an approach for inferring complete depth maps from intensity images and sparse depth information. This paper developed prior work which incrementally completes a sparse...
Luz Abril Torres-Méndez, Gregory Dudek, Pau...
ICIP
2009
IEEE
14 years 9 months ago
Monotone Operator Splitting For Optimization Problems In Sparse Recovery
This work focuses on several optimization problems involved in recovery of sparse solutions of linear inverse problems. Such problems appear in many fields including image and sig...
ICML
2009
IEEE
14 years 9 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...