M. Cadik, M. Wimmer, L. Neumann, and A. Artusi, Evaluation of HDR tone mapping methods using essential perceptual attributes, Computers & Graphics, vol.32, issue.3, pp.330-349, 2008.
DOI : 10.1016/j.cag.2008.04.003

F. Drago, W. L. Martens, K. Myszkowski, and H. Seidel, Perceptual evaluation of tone mapping operators, Proceedings of the SIGGRAPH 2003 conference on Sketches & applications in conjunction with the 30th annual conference on Computer graphics and interactive techniques, GRAPH '03, 2003.
DOI : 10.1145/965400.965487

J. Kuang, H. Yamaguchi, C. Liu, G. M. Johnson, and M. D. Fairchild, Evaluating HDR rendering algorithms, ACM Transactions on Applied Perception, vol.4, issue.2, 2007.
DOI : 10.1145/1265957.1265958

A. Yoshida, V. Blanz, K. Myszkowski, and H. Seidel, Perceptual evaluation of tone mapping operators with real-world scenes, Human Vision and Electronic Imaging X, 2005.
DOI : 10.1117/12.587782

P. Ledda, A. Chalmers, T. Troscianko, and H. Seetzen, Evaluation of tone mapping operators using a high dynamic range display, [32nd annual conference on computer graphics and interactive techniques SIGGRAPH ], 2005.

A. Yoshida, R. Mantiuk, K. Myszkowski, and H. Seidel, Analysis of Reproducing Real-World Appearance on Displays of Varying Dynamic Range, Computer Graphics Forum, vol.5666, issue.1, pp.415-426, 2006.
DOI : 10.1145/566654.566575

M. Ashikhmin and J. Goyal, A reality check for tone-mapping operators, ACM Transactions on Applied Perception, vol.3, issue.4, pp.399-411, 2006.
DOI : 10.1145/1190036.1190040

A. O. Akyüz, R. Fleming, B. E. Riecke, E. Reinhard, and H. H. Bülthoff, Do HDR ddisplay support LDR content? a psychophysical evaluation, ACM Transactions on Applied Perception, vol.26, issue.3, 2007.

M. Barkowsky, L. Callet, and P. , On the perceptual similarity of realistic looking tone mapped High Dynamic Range images, 2010 IEEE International Conference on Image Processing, 2010.
DOI : 10.1109/ICIP.2010.5651143
URL : https://hal.archives-ouvertes.fr/hal-00616683

J. Kuang, G. M. Johnson, and M. D. Fairchild, iCAM06: A refined image appearance model for HDR image rendering, Journal of Visual Communication and Image Representation, vol.18, issue.5, pp.406-414, 2007.
DOI : 10.1016/j.jvcir.2007.06.003

M. Song, D. Tao, C. Chen, J. Bu, J. Luo et al., Probabilistic Exposure Fusion, IEEE Transactions on Image Processing, vol.21, issue.1, pp.341-357, 2012.
DOI : 10.1109/TIP.2011.2157514

H. Yeganeh and Z. Wang, Objective Quality Assessment of Tone-Mapped Images, IEEE Transactions on Image Processing, vol.22, issue.2, pp.657-667, 2013.
DOI : 10.1109/TIP.2012.2221725

R. Mantiuk, S. Daly, K. Myszkowski, and H. Seidl, Predicting visible differences in high dynamic range images -model and its calibration, " in [Human Vision and Electronic Imaging, 2005.

S. Daly, [Digital Images and Human Vision], ch. The Visible Differences Predictor: An Algorithm for the Assessment of Image Fidelity, pp.179-206, 1993.

T. O. Aydin, R. Mantiuk, K. Myszkowski, and H. Seidl, Dynamic range independent image quality assessment, [International Conference on Computer Graphics and Interactive Techniques, 2008.

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.

Z. Wang, E. Simoncelli, and A. Bovik, Multi-scale structural similarity for image quality assessment, [IEEE Asilomar Conference on Signal, Systems and Computers], pp.1398-1402, 2003.

K. Panetta, C. Gao, and S. Agaian, No reference color image contrast and quality measures, IEEE Transactions on Consumer Electronics, vol.59, issue.3, pp.643-651, 2013.
DOI : 10.1109/TCE.2013.6626251

S. Agaian, K. P. Lentz, and A. M. Grigoryan, A new measure of image enhancement, [IASTED International Conference on Signal Processing and Communications], 2000.

S. Agaian, B. Silver, and K. A. Panetta, Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy, IEEE Transactions on Image Processing, vol.16, issue.3, pp.741-758, 2007.
DOI : 10.1109/TIP.2006.888338

K. Panetta, Y. Zhou, and S. Agaian, Nonlinear Unsharp Masking for Mammogram Enhancement, IEEE Transactions on Information Technology in Biomedicine, vol.15, issue.6, pp.918-928, 2011.
DOI : 10.1109/TITB.2011.2164259

S. Nercessian, S. S. Agaian, and K. A. Panetta, Multi-scale image enhancement using a second derivativelike measure of contrast, [SPIE-IS&T Electronic Imaging: Image Processing: Algorithms and Systems X ], p.8295, 2012.

K. Matkovi´cmatkovi´c, L. Neumann, A. Neumann, T. Psik, and W. Purgathofer, Global contrast factor -a new approach to image contrast, [Proceedings of the First Eurographics Conference on Computational Aesthetics in Graphics, Visualization and Imaging], Computational Aesthetics'05, pp.159-167, 2005.

D. Hasler and S. E. Suesstrunk, Measuring colorfulness in natural images, Human Vision and Electronic Imaging VIII, pp.87-95, 2003.
DOI : 10.1117/12.477378

Y. Fu, Color image quality measures and retrievel, 2003.

A. Srivastava, A. B. Lee, E. P. Simoncelli, and S. Zhu, On advances in statistical modeling of natural images, Journal of Mathematical Imaging and Vision, vol.18, issue.1, pp.17-33, 2003.
DOI : 10.1023/A:1021889010444

D. L. Ruderman, The statistics of natural images, Network: Computation in Neural Systems, vol.5, issue.4, pp.517-548, 1994.
DOI : 10.1088/0954-898X_5_4_006

H. Sheikh, A. Bovik, and G. D. Veciana, An information fidelity criterion for image quality assessment using natural scene statistics, IEEE Transactions on Image Processing, vol.14, issue.12, pp.2117-2128, 2005.
DOI : 10.1109/TIP.2005.859389

H. R. Sheikh, A. C. Bovik, C. , and L. , No-reference quality assessment using natural scene statistics: JPEG2000, IEEE Transactions on Image Processing, vol.14, issue.11, pp.1918-1927, 2005.
DOI : 10.1109/TIP.2005.854492

A. Mittal, R. Soundararajan, and A. C. Bovik, Making a completely blind image quality analyzer, IEEE Signal Processing Letters, 2012.