[5] [5] 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.

[6] [6] ZHANG L, ZHANG L, MOU X Q, et al. FSIM: a feature similarity index for image quality assessment [J]. IEEE Transactions on Image Processing, 2011, 20(8): 2378-2386.

[7] [7] SHEIKH H R, BOVIK A C. Image information and visual quality [J]. IEEE Transactions on Image Processing, 2006, 15(2): 430-444.

[9] [9] MANAP R A, SHAO L. Nondistortionspecific noreference image quality assessment: a survey [J]. Information Sciences, 2015, 301: 141-160.

[10] [10] MITTAL A, MOORTHY A K, BOVIK A C. Noreference image quality assessment in the spatial domain [J]. IEEE Transactions on Image Processing, 2012, 21(12): 4695-4708.

[12] [12] BIANCO S, CELONA L, NAPOLETANO P, et al. On the use of deep learning for blind image quality assessment [J]. Signal, Image and Video Processing, 2018, 12(2): 355-362.

[14] [14] FAN K F, LIANG J Y, LI F, et al. CNN based noreference hdr image quality assessment [J]. Chinese Journal of Electronics, 2021, 30(2): 282-288.

[15] [15] KANG L, YE P, LI Y, et al. Convolutional neural networks for noreference image quality assessment [C].//2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus: IEEE, 2014: 1733-1740.

[18] [18] JIANG X H, SHEN L Q, FENG G R, et al. An optimized CNNbased quality assessment model for screen content image [J]. Signal Processing: Image Communication, 2021, 94: 116-181.

[19] [19] HARALICK R M, SHANMUGAM K, DINSTEIN I. Textural features for image classification [J]. IEEE Transactions on Systems, Man, and Cybernetics, 1973, SMC3(6): 610-621.

[23] [23] SIMONCELLI E P, FREEMAN W T, ADELSON E H, et al. Shiftable multiscale transforms [J]. IEEE Transactions on Information Theory, 1992, 38(2): 587-607.

[25] [25] YE P, KUMAR J, KANG L, et al. Unsupervised feature learning framework for noreference image quality assessment [C].//2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence: IEEE, 2012: 1098-1105.

[26] [26] MITTAL A, MOORTHY A K, BOVIK A C. Blind/referenceless image spatial quality evaluator [C].//2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR). Pacific Grove: IEEE, 2011: 723-727.

[27] [27] MOORTHY A K, BOVIK A C. Blind image quality assessment: from natural scene statistics to perceptual quality [J]. IEEE Transactions on Image Processing, 2011, 20(12): 3350-3364.

[29] [29] MA Y, CAI X B, SUN F M. Towards noreference image quality assessment based on multiscale convolutional neural network [J]. Computer Modeling in Engineering & Sciences, 2020, 123(1): 201-216.

[30] [30] GAO X B, GAO F, TAO D C, et al. Universal blind image quality assessment metrics via natural scene statistics and multiple kernel learning [J]. IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(12): 2013-2026.