# LIVE1 (LIVE Public-Domain Subjective Image Quality Database)

Quality Assessment research strongly depends upon subjective experiments to provide calibration data as well as a testing mechanism. After all, the goal of all QA research is to make quality predictions that are in agreement with subjective opinion of human observers. In order to calibrate QA algorithms and test their performance, a data set of images and videos whose quality has been ranked by human subjects is required. The QA algorithm may be trained on part of this data set, and tested on the rest.

@article{sheikh2006statistical,
title={A statistical evaluation of recent full reference image quality assessment algorithms},
author={Sheikh, Hamid R and Sabir, Muhammad F and Bovik, Alan C},
journal={IEEE Transactions on image processing},
volume={15},
number={11},
pages={3440--3451},
year={2006},
publisher={IEEE}
}

@online{sheikh2006live,
title={LIVE image quality assessment database},
author={Sheikh, HR and Wang, Z and Cormack, L and Bovik, AC},
url={http://live.ece.utexas.edu/research/quality}
}


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