Imaging Science Seminar: Spectral Imaging for Heritage Science
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Imaging Science Seminar
Spectral Imaging for Heritage Science: Workflows for Image Processing and Analysis
Dr. David Messinger
Professor
Chester F. Carlson Center for Imaging Science
Register here for Zoom Link
Abstract:
While on sabbatical at the University of Durham, UK, I worked with “Team Pigment,” a multidisciplinary collaboration between the departments of Chemistry, History, and the Institute of Medieval and Early Modern Studies (IMEMS), to build image capture, calibration, and processing workflows for multispectral and hyperspectral imaging of historical artifacts. Our camera systems include spectrally filtered multispectral imagers that are portable for use in a wide range of institutions, as well as Vis-NIR-SWIR hyperspectral imaging systems for use in the Palace Green Library at Durham. While there, we imaged over 100 artifacts, ranging from medieval manuscripts, Shakespeare’s First Folio, Persian art works, and an obscure medieval book binding, all with the goal of learning more about the content, and context, of these artifacts. The workflows will be introduced and examples of tasks such as pigment mapping, ink mapping, faded text enhancement, and underdrawing identification will be shown. Ongoing projects will also be presented.
Speaker Bio:
Dr. Messinger received a BS in Physics from Clarkson University and a Ph.D. in Physics from Rensselaer Polytechnic Institute. He is currently a Professor and the Xerox Chair in Imaging Science at the Rochester Institute of Technology, having served as the Director of the Chester F. Carlson Center for Imaging Science from 2014-2022. He is a Fellow of SPIE, serves as the co-Chair of the SPIE conference “Algorithms, Technologies, and Applications of Multispectral and Hyperspectral Imaging,” has published approximately 200 scholarly articles, and has advised over 30 students to completion of their MS and Ph.D. degrees. His research focuses on projects related to image system analysis and spectral image processing using advanced mathematical approaches with applications to remote sensing and cultural heritage imaging
Intended Audience:
All are Welcome!
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