USA As Represented by Secretary of the Navy

University of Central Florida Research Foundation Inc

Stephanie Lackey

David M Kotick

Eric Ortiz

Joseph Fanfarelli

Daniel Barber

A system and method for determining if a first image and a second image are correlated images includes partitioning a first image and a second image into a plurality of corresponding pixel partitions, calculating an average luminance value for each of the plurality of pixel partitions, determining if each of the plurality of pixel partitions of the first image is correlated with each of the corresponding plurality of pixel partitions of the second image, calculating a percentage of correlated pixel partitions of the first image and the corresponding plurality of pixel partitions of the second image and determining that the first image and the second image are correlated images if the percentage of correlated pixel partitions exceeds a predetermined pixel partition correlation threshold. The objective metric of the present invention determines whether two static rendered images are correlated enough to be undetectable by a human observer.

System and method for visual correlation of digital images

An exemplary embodiment of the invention relates to configuring the minimum number of relay radios in a live-virtual communications system for a tactical training event. The system includes live radios, virtual radios cooperating with a wide area network, and radio bridge circuits cooperating between the live radios and the wide area network. A number of relay radios is determined by determining the mean transmission length for the tactical training event. The duration of peak performance and the expected number of transmissions for the tactical training event are determined. The number of radios for the traffic capacity is calculated, which incorporates a QoS and a spare capacity.

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Orlando, FL, United States of America

Stephanie Lackey