At LIVE (in collaboration with The Department of Psychology at the University of Texas at Austin), an extensive experiment was conducted to obtain scores from human subjects for a number of images distorted with different distortion types. These images were acquired in support of a research project on generic shape matching and recognition.

References

LIVE Image Quality Assessment Database Release 2 H.R. Sheikh, Z.Wang, L. Cormack and A.C. Bovik

TID is intended for evaluation of full-reference image visual quality assessment metrics. TID allows estimating how a given metric corresponds to mean human perception.

References

LTID2008 - A Database for Evaluation of Full-Reference Visual Quality Assessment Metrics N. Ponomarenko, V. Lukin, A. Zelensky, K. Egiazarian, M. Carli, F. Battisti, Advances of Modern Radioelectronics, Vol. 10, pp. 30-45, 2009.

A New Color Image Database TID2013: Innovations and Results N. Ponomarenko, O. Ieremeiev, V. Lukin, K. Egiazarian, L. Jin, J. Astola, B. Vozel, K. Chehdi, M. Carli, F. Battisti, C.-C. Jay Kuo Proceedings of ACIVS, Poznan, Poland, Oct. 2013, pp. 402-413.

The CSIQ database consists of 30 original images, each is distorted using six different types of distortions at four to five different levels of distortion. CSIQ images are subjectively rated base on a linear displacement of the images across four calibrated LCD monitors placed side by side with equal viewing distance to the observer. The database contains 5000 subjective ratings from 35 different observers, and ratings are reported in the form of DMOS.

References

Most apparent distortion: full-reference image quality assessment and the role of strategy E. C. Larson and D. M. Chandler, Journal of Electronic Imaging,19(1),2010