UPIQ: Unified Photometric Image Quality dataset (04.2021)
Unified Photometric Image Quality dataset (UPIQ) UPIQ dataset is intended for training and evaluation of full-reference HDR image quality metrics.
The dataset contains 84 reference images and 4159 distorted images from four datasets, TID2013  (SDR), LIVE  (SDR), Narwaria et al.  (HDR) and Korshunov et al.  (HDR). Quality scores were obtained by re-aligning existing datasets to a common unified quality scale. This was achieved by collecting additional cross-dataset quality comparisons and re-scaling existing data with a psychometric scaling method. Images in the dataset are represented in absolute photometric and colorimetric units, corresponding to light emitted from a display.
This is an updated version of the dataset with the fixed pix_per_deg column. See README.md.
 Ponomarenko, N., Jin, L., Ieremeiev, O., Lukin, V., Egiazarian, K., Astola, J., Benoit: Image database tid2013: Peculiarities, results and perspectives. Signal Processing: Image Communication 30, 57 – 77 (2015)
 Sheikh, H., Sabir, M., Bovik, A.: A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms. IEEE Transactions on Image Processing 15(11), 3440–3451 (2006). https://doi.org/10.1109/TIP.2006.881959, http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1709988
 Narwaria, M., P. Da Silva, M., Le Callet, P., Pepion, R.: Tone mapping-based high-dynamic-range image compression: study of optimization criterion and perceptual quality. Optical Engineering 52(10) (2013). https://doi.org/10.1117/1.OE.52.10.102008
 Korshunov, P., Hanhart, P., Richter, T., Artusi, A., Mantiuk, R., Ebrahimi, T.: Subjective quality assessment database of HDR images compressed with jpeg xt. In: 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX). pp. 1–6 (May 2015). https://doi.org/10.1109/QoMEX.2015.7148119
Software / Usage instructions
European Research Council (725253)