A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms

@article{Sheikh2006ASE,
  title={A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms},
  author={Hamid R. Sheikh and Muhammad F. Sabir and Alan Conrad Bovik},
  journal={IEEE Transactions on Image Processing},
  year={2006},
  volume={15},
  pages={3440-3451}
}
Measurement of visual quality is of fundamental importance for numerous image and video processing applications, where the goal of quality assessment (QA) algorithms is to automatically assess the quality of images or videos in agreement with human quality judgments. [] Key Result This would allow other researchers to easily report comparative results in the future

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