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

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...

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Veröffentlicht in:	IEEE transactions on image processing 2011-02, Vol.20 (2), p.327-344
Hauptverfasser:	Chuanming Wei, Kaplan, Lance M, Burks, Stephen D, Blum, Rick S
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anthropometry Applied sciences Computer Simulation Detection, estimation, filtering, equalization, prediction Diffusion Exact sciences and technology Fused image quality measures (FIQM) Government Human Humans hypothesis test Image fusion Image processing Image Processing, Computer-Assisted - methods Image quality Information, signal and communications theory Layout Likelihood ratio Military computing monotonic correlation (MC) Monte Carlo Method Monte Carlo methods Perception Permission Pixel Signal and communications theory Signal processing Signal, noise Studies Telecommunications and information theory Testing Visual Perception
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