Wang Z, Bovik A C, Sheikh H R,et al. Image quality assessment: from error visibility to structural similarity [J]. IEEE Transactions on Image Processing, 2004, 13(4): 1-14.
[2]
Chang H W, Yang H, Gan Y, et al. Sparse feature fidelity for perceptual image quality assessment [J].IEEE Transactions on Image Processing, 2013, 22(10): 4007-4018.
[3]
Wang J, Li L Y, Wang W, et al. Digital image quality assessment [J]. Journal of the Hebei Academy of Sciences, 2013, 30(2): 30-34. [王进, 李俐莹, 王万, 等. 数字图像的质量评估[J]. 河北省科学院学报, 2013, 30(2): 30-34.]
[4]
Wang Z, Bovik A C. Auniversal image quality index [J]. IEEE Signal Processing Letters, 2002, 9(3): 81-84.
[5]
Yang C L, Chen G H, Xie S L. Gradient information based on image quality accessment [J]. Acta Electronica Sinica, 2007, 35(7): 1313-1317. [杨春玲, 陈冠豪, 谢胜利. 基于梯度信息的图像质量评判方法的研究[J]. 电子学报, 2007, 35(7): 1313-1317.]
[6]
Zhang L, Zhang L,MouX Q, et al. FSIM: a feature similarity index for image quality assessment [J]. IEEE Transactions on Image Processing, 2011, 20(8): 2378-2386.
[7]
Guo L, Chen W L, Liao Y,et al. Multi-scale structural image quality assessment based on two-stage low-level features [J]. Computers and Electrical Engineering, 2014, 40: 1101-1110.
[8]
Kovesi P. Image features from phase congruency [J]. Videre: J Comp. Vis. Res., 1999,1(3):1-26.
[9]
Liu Z, Laganie`re R. Phase congruence measurement for image similarity assessment [J]. ScienceDirect, 2007, 28(1): 166-172.
[10]
Abdou I E, Dusaussoy N J. Survey of image quality measurements [C]// Proceedings of ACM Fall joint Computer Conference. Washington DC: IEEE,1986:71-78.
[11]
Chu J, Chen Q, Yang X C. Review on full reference image quality assessment algorithms [J]. Application Research of Computers, 2014, 31(1): 13-22. [褚江, 陈强, 杨曦晨. 全参考图像质量评价综述[J]. 计算机应用研究, 2014, 31(1): 13-22. ]
[12]
Ponomarenko N, Lukin V, Zelensky A, et al. TID2008-a database for evaluation of full reference visual quality assessment metrics[J]. Advances of Modern Radio Electronics, 2009, 10: 30-45.