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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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Proceedings ArticleDOI
Multiple input adaptive iterative image restoration algorithms
TL;DR: In this paper image restoration applications where multiple distorted versions of the same original image are available, are considered and a general adaptive iterative restoration algorithm is derived based on regularization techniques.
Proceedings ArticleDOI
Forest hashing: Expediting large scale image retrieval
TL;DR: This paper introduces a hybrid method for searching large image datasets for approximate nearest neighbor items, specifically SIFT descriptors that first partitions approximate nearest neighbors using multiple kd-trees before calling upon locally designed spectral hashing tables for retrieval.
Proceedings ArticleDOI
A novel iterative image restoration algorithm using nonstationary image priors
TL;DR: Experimental results are presented by digitally refocusing images captured with controlled defocus, successfully confirming the ability of the proposed restoration algorithm in recovering extra features and details, while still preserving edges.
Proceedings ArticleDOI
Spline-based boundary loss concealment
TL;DR: Object-based video coding requires the transmission of the object shape to be sent as a binary /spl alpha/-plane, and hence its loss needs to be concealed in lossy packet-based networks.
Book ChapterDOI
Photometric Stereo by UV-Induced Fluorescence to Detect Protrusions on Georgia O'Keeffe's Paintings
Johanna Salvant,Marc Walton,Dale Kronkright,Chia Kai Yeh,Fengqiang Li,Oliver Cossairt,Aggelos K. Katsaggelos +6 more
TL;DR: 3D-imaging technique, photometric stereo using ultraviolet illumination, is developed for the long-term monitoring of the surface shape of the protrusions and the surrounding paint, providing a non-invasive protocol to probe topological changes for any relatively flat painted surface of an artwork.