Assessment of synthetic image fidelity

Marilyn A. Gilmore; Ian R. Moorhead; Graham H. Watson; Mitchell G. A. Thomson; Tim Yates; Tomasz Troscianko; David J. Tolhurst; David R. Filbee

doi:10.1117/12.478814

6 August 2002 Assessment of synthetic image fidelity

Marilyn A. Gilmore, Ian R. Moorhead, Graham H. Watson, Mitchell G. A. Thomson, Tim Yates, Tomasz Troscianko, David J. Tolhurst, David R. Filbee

Author Affiliations +

Proceedings Volume 4718, Targets and Backgrounds VIII: Characterization and Representation; (2002) https://doi.org/10.1117/12.478814
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

When using synthetic imagery it is essential that it is fit for purpose. Imagery can be rendered at different levels of quality, depending on application. For example, when using a real-time system, rendering speed is a critical parameter but, when assessing the effectiveness of a camouflage system, physical accuracy is likely to be more important. A method to quantify the accuracy of the imagery, for particular applications, is necessary. A range of different metrics based on wavelets, higher order statistics, and a human vision model, has been developed to assess the fidelity of synthetic imagery. These metrics have been used to analyze synthetic imagery rendered at different levels of fidelity and to compare the synthetic imagery with real- world imagery. Some of the metrics can be used to compare two spatially correlated images, whereas others can be used to assess particular characteristics of the image such as clutter level. The metrics, and first order statistics, have been incorporated into a tool box called FIRE (Fidelity Investigations and Reporting Environment). This paper will describe the metrics used and the results of analyses undertaken.

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Marilyn A. Gilmore, Ian R. Moorhead, Graham H. Watson, Mitchell G. A. Thomson, Tim Yates, Tomasz Troscianko, David J. Tolhurst, and David R. Filbee "Assessment of synthetic image fidelity", Proc. SPIE 4718, Targets and Backgrounds VIII: Characterization and Representation, (6 August 2002); https://doi.org/10.1117/12.478814

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