Diffuse Prior Monotonic Likelihood Ration Test for Evaluation of Fused Image Quality Metrics
ARMY RESEARCH LAB ADELPHI MD
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This paper introduces a novel method to score how well proposed fused image quality measures FIQMs indicate the effectiveness of humans to detect targets of interest in fused imagery. The human detection performance is measured via human perception experiments. A good FIQM should relate to perception results in a monotonic fashion. The new method, the diffuse prior monotonic likelihood ratio DPMLR test compares the H1 hypothesis that the intrinsic human detection performance is related to the FIQM via a monotonic function to the null hypothesis that the detection and image quality relationship is random. The paper discusses many interesting properties of the DPMLR and demonstrates the effectiveness of the DPMLR test via Monte Carlo Simulations. Finally, the DPMLR is used to score FIQMs over 35 scenes implementing various image fusion algorithms.
- Optical Detection and Detectors
- Human Factors Engineering and Man Machine Systems