[1] Xue Xiaobo, Yu Mei, He Meiling. Stereoscopic image-quality-assessment method based on visual cell model[J]. Laser & Optoelectronics Progress, 2016, 53(4): 041004.
[2] Gu K, Zhai G, Liu M, et al. FISBLIM: a five-step blind metric for quality assessment of multiply distorted images[C]. 2013 IEEE Workshop on Signal Processing Systems (SiPS), 2013: 241-246.
[3] Gu K, Zhai G, Yang X, et al. Hybrid no-reference quality metric for singly and multiply distorted images[J]. IEEE Transactions on Broadcasting, 2014, 60(3): 555-567.
[4] Li Q, Lin W, Fang Y. No-reference quality assessment for multiply-distorted images in gradient domain[J]. IEEE Signal Processing Letters, 2016, 23(4): 541-545.
[6] Ghosh K, Sarkar S, Bhaumik K. Understanding image structure from a new multi-scale representation of higher order derivative filters[J]. Image and Vision Computing, 2007, 25(8): 1228-1238.
[8] Kovesi P. Phase congruency detects corners and edges[C]. The Australian Pattern Recognition Society Conference: DICTA, 2003: 309-318.
[9] Gu K, Zhai G, Yang X, et al. A new reduced-reference image quality assessment using structural degradation model[C]. 2013 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, 2013: 1095-1098.
[10] Jayaraman D, Mittal A, Moorthy A K, et al. Objective quality assessment of multiply distorted images[C]. Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012, 43(4): 1693-1697.
[11] Haralick R M, Shanmugam K. Textural features for image classification[J]. IEEE Transactions on Systems, Man & Cybernetics, 1973, 3(6): 610-621.
[15] 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): 600-612.
[16] Larson E C, Chandler D M. Most apparent distortion: full-reference image quality assessment and the role of strategy[J]. Journal of Electronic Imaging, 2010, 19(1): 011006.
[17] Zhang L, Zhang L, Mou X, et al. FSIM: a feature similarity index for image quality assessment[J]. IEEE Transactions on Image Processing, 2011, 20(8): 2378-2386.
[18] Xue W, Zhang L, Mou X, et al. Gradient magnitude similarity deviation: a highly efficient perceptual image quality index[J]. IEEE Transactions on Image Processing, 2014, 23(2): 684-695.
[19] Mittal A, Moorthy A K, Bovik A C. No-reference image quality assessment in the spatial domain[J]. IEEE Transactions on Image Processing, 2012, 21(12): 4695-4708.
[20] Zhang L, Zhang L, Bovik A C. A feature-enriched completely blind image quality evaluator[J]. IEEE Transactions on Image Processing, 2015, 24(8): 2579-2591.
[21] Xue W, Mou X, Zhang L, et al. Blind image quality assessment using joint statistics of gradient magnitude and Laplacian features[J]. IEEE Transactions on Image Processing, 2014, 23(11): 4850-4862.