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ICIP
2005
IEEE
14 years 7 months ago
An adaptive segmentation-based regularization term for image restoration
This paper proposes an original inhomogeneous restoration (deconvolution) model under the Bayesian framework. In this model, regularization is achieved, during the iterative resto...
Max Mignotte
ICIP
1994
IEEE
14 years 7 months ago
New Adaptive Iterative Image Restoration Algorithm
It has been shown in literature that adaptive regularized image restoration is superior to non-adaptive one. However, the adaptivity introduced in most proposed iterative algorith...
Steven Sheung-On Choy, Yuk-Hee Chan, Wan-Chi Siu
SCALESPACE
2007
Springer
13 years 12 months ago
Bounds on the Minimizers of (nonconvex) Regularized Least-Squares
This is a theoretical study on the minimizers of cost-functions composed of an ℓ2 data-fidelity term and a possibly nonsmooth or nonconvex regularization term acting on the di...
Mila Nikolova
ICIP
2003
IEEE
13 years 11 months ago
Perceptual regularization functionals for natural image restoration
Regularization constraints are necessary in inverse problems such as image restoration, optical flow computation or shape from shading to avoid the singularities in the solution....
Juan Gutierrez, Jesus Malo, Francesc J. Ferri
SIAMCO
2000
138views more  SIAMCO 2000»
13 years 5 months ago
Adaptive Image Reconstruction Using Information Measures
We present a class of nonlinear adaptive image restoration filters which may be steered to preserve sharp edges and contrasts in the restorations. From a theoretical point of view ...
Ulrike Hermann, Dominikus Noll