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» Learning Iterative Image Reconstruction
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93
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ICIP
2003
IEEE
16 years 2 months ago
Bayesian parameter estimation in image reconstruction from subsampled blurred observations
In this paper we consider the estimation of the unknown hyperparameters for the problem of reconstructing a high-resolution image from multiple undersampled, shifted, blurred and ...
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos...
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 25 days ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
92
Voted
ISBI
2007
IEEE
15 years 7 months ago
Fast Image Reconstruction Methods for Fully 3d Multispectral Optical Bioluminescence Tomography
We investigate fast iterative image reconstruction methods for fully 3D multispectral optical bioluminescence tomography where inhomogeneous optical properties are modeled using t...
Sangtae Ahn, Abhijit J. Chaudhari, Felix Darvas, C...
110
Voted
ICIP
2000
IEEE
16 years 2 months ago
Incremental Shape Reconstruction Using Stereo Image Sequences
The limitations of estimating structure from either stereo or motion alone can be addressed by the use of stereo image sequences; however, many existing techniques for processing ...
Tai Jing Moyung, Paul W. Fieguth
102
Voted
IVC
2006
133views more  IVC 2006»
15 years 22 days ago
A subspace method for projective reconstruction from multiple images with missing data
In this paper, we consider the problem of projective reconstruction based on the subspace method. Unlike existing subspace methods which require that all the points are visible in...
W. K. Tang, Y. S. Hung