104 search results - page 7 / 21 » A variational method for Bayesian blind image deconvolution |
ICPR
2000
IEEE
14 years 12 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...
ICIP
2003
IEEE
15 years 15 days ago
2003
IEEE
The paper proposes a new wavelet-based Bayesian approach to image deconvolution, under the space-invariant blur and additive white Gaussian noise assumptions. Image deconvolution ...
ICPR
2006
IEEE
15 years 11 hour ago
2006
IEEE
We present various kinds of variational PDE based methods to interpolate missing sinogram data for tomographic image reconstruction. Using the observed sinogram data we inpaint th...
ICIP
2009
IEEE
14 years 12 months ago
2009
IEEE
Sparsity constraints are now very popular to regularized inverse problems. We review several approaches which have been proposed in the last ten years to solve inverse problems su...
SIAMIS
2011
13 years 5 months ago
2011
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...