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» A nonparametric minimum entropy image deblurring algorithm
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CVPR
2011
IEEE
13 years 8 days ago
Bayesian Deblurring with Integrated Noise Estimation
Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequence of MAP estimation, separate pre-process...
Uwe Schmidt, Kevin Schelten, Stefan Roth
ICIP
2000
IEEE
14 years 6 months ago
Image Registration with Minimum Spanning Tree Algorithm
Registration is a fundamental task in image processing and quite a few registration techniques have been developed in various fields. In this paper we propose a novel graphreprese...
Bing Ma, Alfred O. Hero III, John D. Gorman, Olivi...
ICCV
2003
IEEE
13 years 10 months ago
Unsupervised Non-parametric Region Segmentation Using Level Sets
We present a novel non-parametric unsupervised segmentation algorithm based on Region Competition [21]; but implemented within a Level Sets framework [11]. The key novelty of the ...
Timor Kadir, Michael Brady
SSIAI
2002
IEEE
13 years 9 months ago
Entropy Estimation for Segmentation of Multi-Spectral Chromosome Images
In the early 1990s, the state-of-the-art in commercial chromosome image acquisition was grayscale. Automated chromosome classification was based on the grayscale image and boundar...
Wade Schwartzkopf, Brian L. Evans, Alan C. Bovik
MICCAI
2001
Springer
13 years 9 months ago
A Binary Entropy Measure to Assess Nonrigid Registration Algorithms
Assessment of normal and abnormal anatomical variability requires a coordinate system enabling inter-subject comparison. We present a binary minimum entropy criterion to assess afï...
Simon K. Warfield, Jan Rexilius, Petra S. Huppi, T...