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Proceedings Paper

Visual performance-based image enhancement methodology: an investigation of contrast enhancement algorithms
Author(s): Kelly E. Neriani; Travis J. Herbranson; George A. Reis; Alan R. Pinkus; Charles D. Goodyear
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Paper Abstract

While vast numbers of image enhancing algorithms have already been developed, the majority of these algorithms have not been assessed in terms of their visual performance-enhancing effects using militarily relevant scenarios. The goal of this research was to apply a visual performance-based assessment methodology to evaluate six algorithms that were specifically designed to enhance the contrast of digital images. The image enhancing algorithms used in this study included three different histogram equalization algorithms, the Autolevels function, the Recursive Rational Filter technique described in Marsi, Ramponi, and Carrato1 and the multiscale Retinex algorithm described in Rahman, Jobson and Woodell2. The methodology used in the assessment has been developed to acquire objective human visual performance data as a means of evaluating the contrast enhancement algorithms. Objective performance metrics, response time and error rate, were used to compare algorithm enhanced images versus two baseline conditions, original non-enhanced images and contrast-degraded images. Observers completed a visual search task using a spatial-forcedchoice paradigm. Observers searched images for a target (a military vehicle) hidden among foliage and then indicated in which quadrant of the screen the target was located. Response time and percent correct were measured for each observer. Results of the study and future directions are discussed.

Paper Details

Date Published: 19 May 2006
PDF: 12 pages
Proc. SPIE 6226, Enhanced and Synthetic Vision 2006, 622606 (19 May 2006); doi: 10.1117/12.666018
Show Author Affiliations
Kelly E. Neriani, Consortium Research Fellows Program (United States)
Air Force Research Lab. (United States)
Travis J. Herbranson, Air Force Research Lab. (United States)
Air Force Institute of Technology (United States)
George A. Reis, Air Force Research Lab. (United States)
Alan R. Pinkus, Air Force Research Lab. (United States)
Charles D. Goodyear, General Dynamics-Advanced Information Engineering Systems (United States)

Published in SPIE Proceedings Vol. 6226:
Enhanced and Synthetic Vision 2006
Jacques G. Verly; Jeff J. Guell, Editor(s)

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