Analysis of Image Quality for Image Fusion via Monotonic Correlation

  title={Analysis of Image Quality for Image Fusion via Monotonic Correlation},
  author={Lance M. Kaplan and Stephen D. Burks and Rick S. Blum and Richard K. Moore and Quang Nguyen},
  journal={IEEE Journal of Selected Topics in Signal Processing},
This paper introduces a nonlinear correlation coefficient that exploits isotonic (or monotonic) regression. We refer to this correlation coefficient as the monotonic correlation (MC). This paper demonstrates how the MC scores the consistency between possible image quality (IQ) features and actual human performance, which is measured by a perception study. This paper also shows the relationship between the MC and the generalized likelihood ratio (GLR) test for the H 1 hypothesis that the IQ… CONTINUE READING
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