R. Datta, J Joshi, J. Li, and J. Z. Wang, "Studying aesthetics in photographic images using a computational approach," in Proc. 9th European Conference on Computer Vision, Graz, Austria, vol. 3953, May 7-13, 2006, pp. 288-301.
R. Datta, J Joshi, J. Li, and J. Z. Wang, "Learning the consensus on visual quality for next-generation image management," in Proc. 15th International Conference on Multimedia, Augsburg, Germany, 2007, pp. 533-536.
Y. Ke, X. Tang and F. Jing, "The design of high-level features for photo quality assessment," in Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006, pp. 419-426.
C. Li and T. Chen, "Aesthetic visual quality assessment of paintings," IEEE Journal of Selected Topics in Signal Processing, vol. 3, no. 2, Apr. 2009, pp. 236-252.
Y. Luo and X. Tang, "Photo and video quality evaluation: Focusing on the subject," in Proc. European Conference on Computer Vision, vol. 5304, 2008, pp. 386-399.
C. Li, A. Gallagher, A. C. Loui, and T. Chen, "Aesthetic quality assessment of consumer photos with faces," in Proc. 17th IEEE International Conference on Image Processing, 2010, pp. 3221-3224.
W. Luo, X. Wang, and X. Tang, "Content-Based Photo Quality Assessment," In Proc. IEEE International Conference on Computer Vision, 2011, pp. 2206-2213.
T. Leistie, J. Radun, T. Virtanen, R. Halonen, and G. Nyman, "Subjective Experience of Image Quality: Attributes, Definitions and Decision Making of Subjective Image Quality," In Proc. Image Quality and System Performance, SPIE-IS&T Electronic Imaging, SPIE, vol. 7242, 2009.
P. G. Engeldrum, “A Theory of Image Quality: The Image Quality Circle,” Journal of Imaging Science and Technology, vol. 48, no. 5, 2004, pp. 446-456.
A. Zaric, M. Loncaric, D. Tralic, M. Brzica, E. Dumic, and S. Grgic, "Image Quality Assessment - Comparison of Objective Measures with Results of Subjective Test," In Proc. 52nd International Symposium ELMAR, 2010.
H. J. Park and D. H. Har, “Optimum Parameter Ranges on Highly Preferred Images: Focus on Dynamic Range, Color, and Contrast,” Korea Contents Association Journal, vol. 13, no. 1, 2013, pp. 9-18.
K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel prior,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 12, 2011, pp. 2341-2353.
K. He, J. Sun, and X. Tang, "Single image haze removal using dark channel prior," In Proc. IEEE Transactions on Computer Vision and Pattern Recognition, 2010.
R. Datta, D. Joshi, J. Li, and J. Wang, "Studying aesthetics in photographic images using a computational approach," in Proc. 9th European Conference on Computer Vision, Graz, Austria ECCV, 2006.
L. Wong and K. Low "Saliency-enhanced image aesthetics class prediction," In Proc. 16th IEEE International Conference on Image Processing, vol. 6077, 2009, pp. 788-799.
X. Jin, M. Zhao, X. Chen, Q. Zhao, and S. Zhu, "Learning Artistic Lighting Template from Portrait Photographs," In Proc. European Conference on Computer Vision ECCV, 2010.
Y. Sohn, Zone system for digital imaging, Chung-Ang University, 2006.
ISO 14524, Photography-Electronic Still-picture Camerasmethods for measuring Opto- Electronic Conversion Functions (OECFs), International Standard Organization, 2005.
ISO 15739, Photography-Electronic still-picture imaging -Noise measurements, International Standard Organization, 2003.
G. R. Arce, Nonlinear Signal Processing: A Statistical Approach, Wiley: New Jersey, USA, 2005.
A. Rizzi, G. Simone, and R. Cordone, "A modified algorithm for perceived contrast in digital images," Fourth European Conference on Color in Graphics, Imaging and Vision, 2008, pp.249-252.
G Simone, M Pedersen, and J. Y. Hardeberg, “Measuring perceptual contrast in digital images,” Journal of Visual Communication and Image Representation, vol. 25, issue. 1, Jan. 2012, pp. 491-506.
C. Cerosaletti and A. C. Loui, "Measuing the perceived aesthetic quality of photographic images," International workshop on quality of multimedia experience, 2009, pp. 47-52.
A. Torralba, “Contextual priming for object detection,” International Journal of Computer Vision, vol. 53, 2003, pp. 169-191.
S. Luo, P. Etz, A. Singhal, and R. T. Gray, "Performancescalable computational approach to main subject detection in photographs," in Proc. SPIE Conf. on Human Vision and Electronic Imaging, vol. 4299, Jan. 2001, pp. 494-505.
C. D. Cerosaletti, M. E. Miller, and R. A. Drexel, "The perception of depth in photographic images," IS & T;s PICS Conference, Rochester, NY, 2003.
A. C. Gallagher, “A ground truth based vanishing point detection algorithm,” Pattern Recognition, vol. 35, 2002, pp. 1527-1543.
H. J. Park and D. H. Har, “Subjective Image Quality Assessment based on Objective Image Quality Measurement Factors,” IEEE Transactions on Consumer Electronics, vol. 57, no. 3, Aug. 2011.