George Eastman House International Museum of Photography Conservation Laboratory and the University of Rochester
Department of Computer Science are researching image analysis techniques to distinguish daguerreotype plate and image
features from deterioration, contaminant particulates, and optical imaging error occurring in high resolution photomicrography
system. The images are captured at up to 30 times magnification and composited, including the ravages of age and
reactivity of the highly polished surface that obscures and reduces the readability of the image. The University of Rochester
computer scientists have developed and applied novel techniques for the seamless correction of a variety of problems. The
final output is threefold: an analysis of regular artifacting resulting from imaging conditions and equipment; a fast automatic
identification of problem areas in the original artifact; and an approximate digital restoration. In addition to the
discussion of novel classification and restorative methods for digital daguerreotype restoration, this work highlights the
effective use of large-scale parallelism for restoration (made available through the University of Rochester Center for Research
Computing). This paper will show the application of analytical techniques to the Cincinnati Waterfront Panorama
Daguerreotype, with the intent of making the results publically available through high resolution web image navigation
tools.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.