[1] [1] Bahrami K, Kot A C, A fast approach for no-reference image sharpness assessment based on maximum local variation［J］. IEEE Signal Processing Letters,2014,21(6):751-755.

[2] [2] Li L, Xia W, Lin W, et al. No-Reference and robust image sharpness evaluation based on multiscale spatial and spectral features［J］. IEEE Transactions on Multimedia,2017,19(5):1030-1040.

[3] [3] 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.

[4] [4] Gu K, Zhou J, Qiao J F, et al. No-Reference quality assessment of screen content pictures［J］. IEEE Transactions on Image Processing,2017,26(8):4005-4018.

[5] [5] Saad M A, Bovik A C, Charrier C. Blind prediction of natural video quality［J］. IEEE Transactions on Image Processing,2014,23(3):1352-1365.

[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.

[8] [8] Bahrami K, Kot A C, Efficient image sharpness assessment based on content aware total variation［J］. IEEE Transactions on Multimedia,2016,18(8):1568-1578.

[9] [9] Sang Q B, Qi H X, Wu X J, et al. No-reference image blur index based on singular value curve［J］. Journal of Visual Communication and Image Representation,2014,25(7):1625-1630.

[12] [12] Ferzli R, Karam L J, A No-Reference objective image sharpness metric based on the notion of just noticeable blur (JNB)［J］. IEEE Transactions on Image Processing,2009,18(4):717-728.

[13] [13] Narvekar N D, Karam L J. A No-Reference image blur metric based on the cumulative probability of blur detection(CPBD)［J］.IEEE Transactions on Image Processing,2011,20(9):2678-2683.

[14] [14] Vu C T, Phan T D, Chandler D M. S3: a spectral and spatial measure of local perceived sharpness in natural images［J］. IEEE Transactions on Image Processing,2012,21(3):934-945.

[15] [15] Vu P V, Chandler D M. A fast wavelet-based algorithm for global and local image sharpness estimation［J］. IEEE Signal Processing Letters,2012,19(7):423-426.

[16] [16] Hassen R, Wang Z,Salama M M A. Image sharpness assessment based on local phase coherence［J］. IEEE Transactions on Image Processing,2013,22(7):2798-2810.

[17] [17] Gu K, Zhai G T, Lin W S, et al. No-Reference image sharpness assessment in autoregressive parameter space［J］. IEEE Transactions on Image Processing,2015,24(10):3218-3231.

[18] [18] Li L D, Lin W S, Wang X S, et al. No-Reference image blur assessment based on discrete orthogonal moments［J］. IEEE Transactions on Cybernetics,2016,46(1):39-50.

[19] [19] Li L D, Wu D, Wu J J, et al. Image sharpness assessment by sparse representation［J］. IEEE Transactions on Multimedia ,2016,18(6):1085-1097.

[20] [20] Gvozden G, Grgic S, Grgic M. Blind image sharpness assessment based on local contrast map statistics［J］. Journal of Visual Communication and Image Representation,2018,50:145-158.

[21] [21] Zhan Y, Zhang R. No-Reference image sharpness assessment based on maximum gradient and variability of gradients［J］. IEEE Transactions on Multimedia,2017,20(7):1796-1808.

[22] [22] Mahdi S H, Zhang Y, Konstantinos N P. Encoding visual sensitivity by maxpol convolution filters for image sharpness assessment［J］. IEEE Transactions on Image Processing,2019,28(9):4510-4525.

[23] [23] Chen Jian, Li Shiyun, Lin Li, A no-reference blurred colourful image quality assessment method based on dual maximum local information［J］. IET Signal Processing,2021,15(9):597-611.

[24] [24] Lee D, Plataniotis K N. Towards a full-reference quality assessment for color images using directional statistics［J］. IEEE Transactions on Image Processing,2015,24(11):3950-3965.

[25] [25] Lee D, Plataniotis K N. Towards anovel perceptual color difference metric using circular processing of hue components［C］∥International Conference on Acoustics, Speech and Signal Processing (ICASSP) Florence, Italy: IEEE,2014,166-170.

[26] [26] Shi C Y, Lin Y D. Full reference image quality assessment based on visual salience with color appearance and gradient similarity［J］. IEEE Access, 2020,8:97310-97320.

[28] [28] Berns R S, Extending CIELAB: Vividness, Vab*, depth, Dab*, and clarity, Tab*［J］. Color Research & Application,2014,39(4):322-330.

[29] [29] Yang H, Fang Y M, Lin W S. Perceptual quality assessment of screen content images［J］. IEEE Transactions on Image Processing,2015,24(11):4408-4421.

[30] [30] Sheikh H R, Sabir M F, Bovik A C. A statistical evaluation of recent full reference image quality assessment algorithms［J］. IEEE Transactions on Image Processing,2006,15(11):3440-3451.

[31] [31] Liu A M, Lin W S, Narwaria M. Image quality assessment based on gradient similarity［J］. IEEE Transactions on Image Processing,2012,21(4):1500-1512.