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Proceedings Paper

Metrics for measuring the impact of image processing algorithms on background statistics
Author(s): Patrick J. Harding; Gordon Arthur; Neil M. Robertson
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Paper Abstract

In surveillance and remote sensing applications images are often subject to processing both at the sensor and for display/storage. This paper presents a step towards measuring and understanding how these processes impact on human interpretation of regions of similar statistics within images. The paper describes the methods involved, including image generation, image processing algorithm application, and algorithm impact measurement techniques. A comparison is then made between the impact measurements and human observations. It is suggested that data on mathematical measures of the impact of processing algorithms on statistical regions of images may be usable for intelligent algorithm application.

Paper Details

Date Published: 10 October 2008
PDF: 12 pages
Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 71090H (10 October 2008); doi: 10.1117/12.800308
Show Author Affiliations
Patrick J. Harding, Thales Optronics Ltd. (United Kingdom)
Heriot-Watt Univ. (United Kingdom)
Gordon Arthur, Thales Optronics Ltd. (United Kingdom)
Neil M. Robertson, Heriot-Watt Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 7109:
Image and Signal Processing for Remote Sensing XIV
Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa, Editor(s)

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