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DAGM
2007
Springer
13 years 11 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
ESANN
2004
13 years 6 months ago
Neural network-based calibration of positron emission tomograph detector modules
In this paper we describe a neural network-based method aimed at automatically calibrating the detector module contained in a scanner for a highresolution positron emission tomogra...
Beatrice Lazzerini, Francesco Marcelloni, Giovanni...
CVPR
2007
IEEE
14 years 7 months ago
Resolving Objects at Higher Resolution from a Single Motion-blurred Image
Motion blur can degrade the quality of images and is considered a nuisance for computer vision problems. In this paper, we show that motion blur can in-fact be used for increasing...
Amit K. Agrawal, Ramesh Raskar
DGCI
2003
Springer
13 years 10 months ago
Shape Preserving Digitization of Ideal and Blurred Binary Images
In order to make image analysis methods more reliable it is important to analyse to what extend shape information is preserved during image digitization. Most existing approaches t...
Ullrich Köthe, Peer Stelldinger
ISBI
2008
IEEE
14 years 6 months ago
Application of a spatially variant system model for 3-D whole-body pet image reconstruction
Accurate system modeling in tomographic image reconstruction has been shown to reduce the spatial variance of resolution and improve quantitative accuracy. System modeling can be ...
Adam M. Alessio, Paul E. Kinahan