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Proceedings Paper

A comparison of visual statistics for the image enhancement of FORESITE aerial images with those of major image classes
Author(s): Daniel J. Jobson; Zia-ur Rahman; Glenn A. Woodell; Glenn D. Hines
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Paper Abstract

Aerial images from the Follow-On Radar, Enhanced and Synthetic Vision Systems Integration Technology Evaluation (FORESITE) flight tests with the NASA Langley Research Center's research Boeing 757 were acquired during severe haze and haze/mixed clouds visibility conditions. These images were enhanced using the Visual Servo (VS) process that makes use of the Multiscale Retinex. The images were then quantified with visual quality metrics used internally within the VS. One of these metrics, the Visual Contrast Measure, has been computed for hundreds of FORESITE images, and for major classes of imaging-terrestrial (consumer), orbital Earth observations, orbital Mars surface imaging, NOAA aerial photographs, and underwater imaging. The metric quantifies both the degree of visual impairment of the original, un-enhanced images as well as the degree of visibility improvement achieved by the enhancement process. The large aggregate data exhibits trends relating to degree of atmospheric visibility attenuation, and its impact on the limits of enhancement performance for the various image classes. Overall results support the idea that in most cases that do not involve extreme reduction in visibility, large gains in visual contrast are routinely achieved by VS processing. Additionally, for very poor visibility imaging, lesser, but still substantial, gains in visual contrast are also routinely achieved. Further, the data suggest that these visual quality metrics can be used as external standalone metrics for establishing performance parameters.

Paper Details

Date Published: 12 May 2006
PDF: 8 pages
Proc. SPIE 6246, Visual Information Processing XV, 624601 (12 May 2006); doi: 10.1117/12.664591
Show Author Affiliations
Daniel J. Jobson, NASA Langley Research Ctr. (United States)
Zia-ur Rahman, College of William and Mary (United States)
Glenn A. Woodell, NASA Langley Research Ctr. (United States)
Glenn D. Hines, NASA Langley Research Ctr. (United States)

Published in SPIE Proceedings Vol. 6246:
Visual Information Processing XV
Zia-ur Rahman; Stephen E. Reichenbach; Mark A. Neifeld, Editor(s)

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