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DAGM
2007
Springer
14 years 1 months ago
Image Statistics and Local Spatial Conditions for Nonstationary Blurred Image Reconstruction
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...
Hongwei Zheng, Olaf Hellwich
SCALESPACE
2009
Springer
14 years 2 months ago
Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise
Abstract. We wish to recover an image corrupted by blur and Gaussian or impulse noise, in a variational framework. We use two data-fidelity terms depending on the noise, and sever...
Miyoun Jung, Luminita A. Vese
SIAMCO
2000
138views more  SIAMCO 2000»
13 years 7 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
ICASSP
2010
IEEE
13 years 7 months ago
Graph-based regularization for spherical signal interpolation
This paper addresses the problem of the interpolation of 2-d spherical signals from non-uniformly sampled and noisy data. We propose a graph-based regularization algorithm to impr...
Tamara Tosic, Tamara Frossard
CCECE
2006
IEEE
14 years 1 months ago
Regularized Fractal Image Decoding
The goal of this paper is to present a new recipe for the fractal image decoding process. In this paper, we explain how fractal-based methods can be internally combined with regul...
Mehran Ebrahimi, Edward R. Vrscay