Multivariate perception testing for fire service thermal imager evaluations

@inproceedings{Amon2010MultivariatePT,
  title={Multivariate perception testing for fire service thermal imager evaluations},
  author={F. Amon and D. Leber and Justin Rowe},
  booktitle={Defense + Commercial Sensing},
  year={2010}
}
This work provides an answer to the question "How good does the image need to be?" for testing image quality of fire service thermal imagers. Fire fighters were asked to identify potential fire hazards in 4500 images that had been degraded in brightness, contrast, spatial resolution, and noise level. A perception model was built from the resulting data. The methods of degrading the images used to develop the perception model were mathematically related to methods employed in objective… Expand