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Proceedings Paper

Usage of DSC meta tags in a general automatic image enhancement system
Author(s): Stefan Moser; Michael Schroeder
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Paper Abstract

In this contribution we show how meta information is included in almost every digital still camera (DSC) image can be utilized for image classification and automatic image enhancement in a photo finishing system. All DSC manufacturers have realized the importance of meta tag information and almost all camera models support meta tags. However, nowhere in the literature we have found an application of image tags for building an automatic image enhancement system. Here, we show a way to use the tagged information for this purpose. The additional information about the capture conditions allows us to classify each image in earlier learned classes and to apply a more appropriate processing in the form of optimized image enhancement algorithms. We show how such an image enhancement system could work and also explain how to use the obtained image classes to restrict the plausibility of scene type classification. Finally we present experimental results on the general performance of the image enhancement system.

Paper Details

Date Published: 24 April 2002
PDF: 9 pages
Proc. SPIE 4669, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications III, (24 April 2002); doi: 10.1117/12.463430
Show Author Affiliations
Stefan Moser, Gretag Imaging AG (Switzerland)
Michael Schroeder, Gretag Imaging AG (Switzerland)

Published in SPIE Proceedings Vol. 4669:
Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications III
Nitin Sampat; Morley M. Blouke; John Canosa; John Canosa; Nitin Sampat, Editor(s)

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