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» Restoration of images and 3D data to higher resolution by de...
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ICIP
2010
IEEE
13 years 2 months ago
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization
Image convolution is conventionally approximated by the LTI discrete model. It is well recognized that the higher the sampling rate, the better is the approximation. However somet...
Yingsong Zhang, Nick G. Kingsbury
ICIP
2008
IEEE
14 years 6 months ago
Spect image restoration via Recursive Inverse Filtering constrained by a probabilistic MRI atlas
3D Brain SPECT imagery is a well established functional imaging method which has become a great help to physicians in the diagnosis of several neurological and cerebrovascular dis...
Said Benameur, Max Mignotte, Jean-Paul Soucy, Jean...
ICIP
2009
IEEE
14 years 5 months ago
Wavelet-based Parallel Mri Regularization Using Bivariate Sparsity Promoting Priors
Parallel magnetic resonance imaging (pMRI) using multiple receiver coils has emerged as a powerful 3D imaging technique for reducing scanning time or increasing image resolution. ...
ICPR
2000
IEEE
14 years 5 months ago
Estimation of Adaptive Parameters for Satellite Image Deconvolution
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
André Jalobeanu, Josiane Zerubia, Laure Bla...
3DPVT
2006
IEEE
160views Visualization» more  3DPVT 2006»
13 years 10 months ago
Geometry Refinement of 3D Surfaces Using Kriging
3D imaging is a popular method for acquiring accurate models for a variety of applications. However, the size of the geometric features that can be modeled in this manner is depen...
Brad Grinstead, Andreas Koschan, Mongi A. Abidi