96 search results - page 5 / 20 » Regularization parameter trimming for iterative image recons... |
138
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ICPR
2000
IEEE
16 years 5 months ago
2000
IEEE
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...
127
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DAGM
2007
Springer
15 years 10 months ago
2007
Springer
Deblurring is important in many visual systems. This paper presents a novel approach for nonstationary blurred image reconstruction with ringing reduction in a variational Bayesian...
156
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ICVGIP
2004
15 years 5 months ago
2004
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
155
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PAMI
2007
15 years 4 months ago
2007
—This paper presents a novel approach for estimating the parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterio...
135
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ICIP
2005
IEEE
15 years 10 months ago
2005
IEEE
In traditional digital image restoration, the blurring process of the optic is assumed known. Many previous research efforts have been trying to reconstruct the degraded image or ...