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Aggelos K. Katsaggelos
Researcher at Northwestern University
Publications - 999
Citations - 28918
Aggelos K. Katsaggelos is an academic researcher from Northwestern University. The author has contributed to research in topics: Image restoration & Image processing. The author has an hindex of 76, co-authored 946 publications receiving 26196 citations. Previous affiliations of Aggelos K. Katsaggelos include University of Stavanger & Delft University of Technology.
Papers
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Journal ArticleDOI
SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution
TL;DR: A novel combination of this soft edge smoothness prior and the alpha matting technique for color image SR, by adaptively normalizing image edges according to their alpha-channel description leads to the adaptive SoftCuts algorithm, which represents a unified treatment of edges with different contrasts and scales.
Journal ArticleDOI
Anomalous video event detection using spatiotemporal context
TL;DR: Compared to other anomalous video event detection approaches that analyze object trajectories only, this work proposes a context-aware method to detect anomalies that is computationally efficient and can infer complex rules.
Journal ArticleDOI
Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation
TL;DR: Experimental results show that the proposed approaches provide competitive performance without any assumptions about unknown hyperparameters and clearly outperform existing methods when additional information is included.
Journal ArticleDOI
Least squares restoration of multichannel images
TL;DR: A spatially adaptive, multichannel least squares filter that utilizes local within- and between-channel image properties is proposed, and a geometric interpretation of the estimates of both filters is given.
Book ChapterDOI
Bayesian blind deconvolution with general sparse image priors
TL;DR: A general method for blind image deconvolution using Bayesian inference with super-Gaussian sparse image priors is presented and theoretical and experimental results demonstrate that the proposed formulation is very effective, efficient, and flexible.