[1] 范媛媛, 沈湘衡, 桑英军. 基于对比度敏感度的无参考图像清晰度评价[J]. 光学 精密工程, 2011, 19(10): 2485-2493.

    FAN Y Y, SHEN X H, SAN Y J. No reference image sharpness assessment based on contrast sensitivity[J]. Opt. Precision Eng., 2011, 19(10): 2485-2493. (in Chinese)

[2] 宁方立, 何碧静, 韦娟. 基于l_p范数的压缩感知图像重建算法研究[J]. 物理学报, 2013, 62(17): 174212.

    NING F L, HE B J, WEI J. An algorithm for image reconstruction based on l_p norm[J]. Acta Phys. Sin. , 2013, 62(17): 174212. (in Chinese)

[3] CHEN Y J, WU K S, ZHANG Q. From QoS to QoE: A tutorial on video quality assessment [J]. IEEE Communications Surveys & Tutorials , 2015, 17(2): 1126-1165.

[4] KARTHIKEYAN R, SAINARAYANAN G, DEEPA S N. Perceptual video quality assessment in H. 264 video coding standard using objective modeling[J]. Springerplus, 2014, 3(1): 1-6.

[5] 杨亚威, 李俊山, 张士杰, 等. 基于生物视觉标准模型特征的无参考型图像质量评价方法[J]. 液晶与显示, 2014, 29(6): 1016-1023

    YANG Y W, LI J S, ZHANG S J, et al. Non reference image quality assessment approach based on standard model features of biological vision[J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(6): 1016-1023. (in Chinese)

[6] 米曾真. 小波域中CSF频率与方向加权的图像质量评价方法[J]. 电子学报, 2014, 42(7): 1273-1276.

    MI Z ZH. Image quality evaluation method based on frequency and direction weighted to CSF in wavelet domain[J]. Acta Electronic Sinica, 2014, 42(7): 1273-1276. (in Chinese)

[7] LI C F, BOVIK A C. Content-weighted video quality assessment using a three-component image model[J]. Journal of Electronic Imaging, 2010, 19(1): 143-153.

[8] 液晶与显示|2015|30|3|531-537

    邱聚能, 李辉, 闫乐乐, 等. 基于图像质量评价的LCD运动模糊检测方法[J]. 液晶与显示, 2015, 30(3): 531-537.

    QIU J N, LI H, YAN L L, et al.. LCD motion blur detecting method based on image quality assessment [J]. Chinese Journal of Liquid Crystals and Displays, 2015, 30(3): 531-537. (in Chinese)

[9] OU Y F, XUE Y Y, WANG Y. Q-STAR_A perceptual video quality model considering impact of spatial, temporal, and amplitude resolution[J]. IEEE Transactions on Image Processing, 2014, 23(6): 2473-2486.

[10] 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.

[11] AKAMINE A W Y, FARIAS M C. Video quality assessment using visual attention computational models[J]. Journal of Electronic Imaging, 2014, 23(6): 061107.

[12] SOUNDARARAJAN R, BOVIK A C. Video quality assessment by reduced reference spatio-temporal entropic differencing[J]. IEEE Transactions on Circuits & Systems for Video Technology, 2013, 23(4): 684-694.

[13] MOORTHY A K, CHOI L K, BOVIK A C, et al.. Video quality assessment on mobile devices: subjective, behavioral and objective studies[J]. IEEE Journal of Selected Topics in Signal Processing, 2012, 6(6): 652-671.

[14] ANEGEKUH L, SUN L, JAMMEH E, et al.. Content-based video quality prediction for HEVC encoded videos streamed over packet networks[J]. IEEE Transactions on Multimedia, 2015, 17(8): 1323-1334.

[15] GINESU G, MASSIDDA F, GIUSTO D D. A multi-factors approach for image quality assessment based on a human visual system model[J]. Signal Processing: Image Communication, 2006, 21(4): 316-333.

[16] SESHADRINATHAN K, SOUNDARARAJAN R, BOVIK A C, et al.. LIVE Video Quality Database[DB] http://live.ece.utexas.edu/research/quality/live_mobile_video.html, [2016-04-20].

[17] BARTEN P G J. Evaluation of subjective image quality with the square-root integral method[J]. Journal of the Optical Society of America A-Optics Image Science and Vision, 1990, 7(10): 2024-2031

[18] NADENAU M. Integration of human color vision models into high quality image compression [D]. Switzerland: école Polytechnique Fédérale de Lausanne. 2000.

[19] KELLY D H. Motion and vision. II. Stabilized spatio-temporal threshold surface [J]. Journal of the Optical Society of America, 1979, 69(10): 1340-1349.

[20] ZHANG F, BULL D R. Quality assessment methods for perceptual video compression [C]. 20th IEEE International Conference on Image Processing (ICIP 2013), 2013: 39-43.