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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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Region-based super-resolution reconstruction using parallel programming
TL;DR: In the proposed algorithm of regularized iterative SR, two different types of constraints are incorporated, namely (i) edge reconnection and (ii) orientation adaptive filtering, which can successfully remove aliasing artifact and produce edgepreserving high-resolution (HR) images.
Proceedings ArticleDOI
Particle tracking and extended object imaging by interferometric super resolution microscopy
Itay Gdor,Seunghwan Yoo,Xiaolei Wang,Matthew K. Daddysman,Rosemarie Wilton,Nicola J. Ferrier,Mark Hereld,Oliver Cossairt,Aggelos K. Katsaggelos,Norbert F. Scherer +9 more
TL;DR: In this paper, an interferometric fluorescent microscope and a novel theoretic image reconstruction approach were developed and used to obtain super-resolution images of live biological samples and to enable dynamic real-time tracking.
Proceedings ArticleDOI
Efficient image correspondence measurements in airborne applications using inertial navigation sensors
TL;DR: This paper presents a computationally efficient method for the measurement of a dense image correspondence vector field using supplementary data from an inertial navigation sensor and shows experimentally that the inertial sensor solution outperforms traditional optical flow methods both in processing speed and accuracy.
Journal ArticleDOI
Optical Flow Prediction for Blind and Non-Blind Video Error Concealment Using Deep Neural Networks
TL;DR: A novel optical flow prediction model using an adaptable deep neural network architecture for blind and non-blind error concealment of videos degraded by transmission loss is presented.