F. Banterle, A. Artusi, K. Debattista, and A. Chalmers, Advanced High Dynamic Range Imaging: Theory and Practice, 2011.
DOI : 10.1201/b11373

S. Daly, Visible differences predictor: an algorithm for the assessment of image fidelity, Human Vision, Visual Processing, and Digital Display III, pp.179-206, 1993.
DOI : 10.1117/12.135952

R. Mantiuk, S. J. Daly, K. Myszkowski, and H. Seidel, Predicting visible differences in high dynamic range images: model and its calibration, Human Vision and Electronic Imaging X, pp.204-214, 2005.
DOI : 10.1117/12.586757
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.5124

R. Mantiuk, K. J. Kim, A. G. Rempel, and W. Heidrich, HDR-VDP- 2: A calibrated visual metric for visibility and quality predictions in all luminance conditions, Proc. of SIGGRAPH'11), 2011.

M. Narwaria, R. K. Mantiuk, M. P. Da, P. L. Silva, and . Callet, HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images, Journal of Electronic Imaging, vol.24, issue.1, p.10501, 2015.
DOI : 10.1117/1.JEI.24.1.010501
URL : https://hal.archives-ouvertes.fr/hal-00951337

M. Narwaria, M. Perreira-da, P. L. Silva, and . Callet, HDR-VQM: An objective quality measure for high dynamic range video, Signal Processing: Image Communication, pp.46-60, 2015.
DOI : 10.1016/j.image.2015.04.009
URL : https://hal.archives-ouvertes.fr/hal-01149516

T. O. Aydin, R. Mantiuk, and H. Seidel, Extending quality metrics to full luminance range images, Human Vision and Electronic Imaging XIII, 2008.
DOI : 10.1117/12.765095

T. Pinheiro and . Ebrahimi, HDR image compression: A new challenge for objective quality metrics, 2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX, pp.159-164

G. Valenzise, F. De-simone, P. Lauga, and F. Dufaux, Performance evaluation of objective quality metrics for HDR image compression, Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, A. G. Tescher, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01436204

P. Hanhart, M. V. Bernardo, M. Pereira, A. M. Pinheiro, and T. Ebrahimi, Benchmarking of objective quality metrics for HDR image quality assessment, EURASIP Journal on Image and Video Processing, vol.44, issue.13, pp.13640-13655, 2015.
DOI : 10.1186/s13640-015-0091-4

M. Azimi, A. Banitalebi-dehkordi, Y. Dong, M. T. Pourazad, P. Nasiopoulos et al., Evaluating the Performance of Existing Full -Reference Quality Metrics on High Dynamic Range (HDR) Video Content Subjective and objective evaluation of HDR video compression, International Conference on Multimedia Signal Processing (ICMSP), 2014. [12] 9th International Workshop on Video Processing and Quality Metrics for Consumer Electronics (VPQM), 2015.

M. Narwaria, M. Perreira-da, P. L. Silva, and . Callet, Study of high dynamic range video quality assessment, Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, A. G. Tescher, 2015.
DOI : 10.1117/12.2189178

Z. Wang, A. Bovik, H. Sheikh, E. Simoncelli, H. Sheikh et al., Image Quality Assessment: From Error Visibility to Structural Similarity, Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, pp.600-612, 2004.
DOI : 10.1109/TIP.2003.819861

I. Mpeg, Call for Evidence (CfE) for HDR and WCG Video Coding, 2015.

I. Recommendation and P. , Subjective video quality assessment methods for multimedia applications, ITU-T Std, 2008.

I. Recommendation and B. , 500-13, Methodology for the subjective assessment of the quality of television pictures, 2012.

I. Recommendation and P. , 1401, Methods, metrics and procedures for statistical evaluation, qualification and comparison of objective quality prediction models, 2012.

L. Krasula, K. Fliegel, P. Lecallet, and M. Klíma, On the accuracy of objective image and video quality models: New methodology for performance evaluation, 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX), 2016.
DOI : 10.1109/QoMEX.2016.7498936
URL : https://hal.archives-ouvertes.fr/hal-01395440

Y. Benjamini and Y. Hochberg, Controlling the false discovery rate: A practical and powerful approach to multiple testing, Journal of the Royal Statistical Society, vol.57, issue.1, pp.289-300, 1995.