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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.
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Proceedings ArticleDOI
Interactive classification oriented superresolution of multispectral images
TL;DR: This work addresses the problem of adaptively modifying the pansharpening method in order to improve the precision and recall figures of merit of the classification of a given class without significantly deteriorating the performance of the classifier over the other classes.
Proceedings ArticleDOI
Performance Comparison of Ultra-Miniature Diffraction Gratings with Lenses and Zone Plates
TL;DR: In this article, the performance of non-focusing diffraction gratings was compared with ideal lenses and zone plates of similar structural properties. But the authors focused on the potential benefits of their use in computational imaging systems.
Proceedings Article
Using logarithmic opinion pooling techniques in Bayesian blind multi-channel restoration
TL;DR: In this paper, the authors examined the use of logarithmic opinion pooling techniques to combine two observations models that are normally used in multi-channel image restoration techniques, and used variational techniques to approximate the posterior distribution of the real underlying image and the unknown blurs.
Posted Content
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
TL;DR: It is demonstrated that it is possible to automatically detect subtle non-apneic/non-hypopneic arousal events from PSG recordings, which contributes to a better retrospective analysis of sleep data, and may also improve the quality of treatment.
Proceedings ArticleDOI
Anti-aliasing filter for subpixel down-sampling based on frequency analysis
TL;DR: frequency domain analysis is used to explain what happens in subpixel-based downsampling and why it is possible to achieve a higher apparent resolution and Experimental results verify that the proposed subpixel down-sampling scheme based on frequency analysis (SDSFA) can give superior results compared with existing pixel-based down- sampling methods.