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Proceedings Paper

Automatic out-of-range photo recognition using digital techniques
Author(s): Genevieve Dardier; Henri Maitre
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Paper Abstract

This paper addresses digital techniques used to identify automatically those color photographs whose optical densities fall outside acceptable norms for a visual system. Targets are of two different kinds indicating the need for different recognition algorithms. First, the investigation focuses on color pictures showing high contrast in optical densities such as pictures taken with flash and pictures taken against the light; it estimates statistical parameters which determine mixture densities. Results of Maximum Likelihood, Moment estimation using Prony's Method, Multiscale Analysis and Marquardt optimization algorithm applied to the histogram recognition problem have been compared in terms of efficiency and speed for both low and more detailed vision. Attention is then focussed on pictures showing an optical density gradient in a given direction. Solutions such as plane fitting, robust Median Based Estimator are compared with a new '4-step Median Based Estimator.'

Paper Details

Date Published: 7 September 1998
PDF: 11 pages
Proc. SPIE 3409, Electronic Imaging: Processing, Printing, and Publishing in Color, (7 September 1998); doi: 10.1117/12.324105
Show Author Affiliations
Genevieve Dardier, Ecole Nationale Superieure des Telecommunications (United States)
Henri Maitre, Ecole Nationale Superieure des Telecommunications (France)

Published in SPIE Proceedings Vol. 3409:
Electronic Imaging: Processing, Printing, and Publishing in Color
Jan Bares, Editor(s)

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