Accession Number:

ADA559291

Title:

Diffuse Prior Monotonic Likelihood Ratio Test for Evaluation of Fused Image Quality Measures

Descriptive Note:

Journal article

Corporate Author:

LEHIGH UNIV BETHLEHEM PA

Report Date:

2011-02-01

Pagination or Media Count:

22.0

Abstract:

This paper introduces a novel method to score how well proposed fused image quality measures FIQMs indicate the effectiveness of humans to detect targets 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 method computes a new diffuse prior monotonic likelihood ratio DPMLR to facilitate the comparison of the H1 hypothesis that the intrinsic human detection performance is related to the FIQM via a monotonic function against 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 with test cases considering over 35 scenes and various image fusion algorithms.

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE