参考文献/References:
[1] Wang Z, Bovik A. Modern image quality assessment[J]. Synthesis Lectures on Image Video & Multimedia Processing, 2006, 2(1):1-156.
[2] Wang Z, Bovik A C, Sheikh H R, et al. Image quality assessment: From error visibility to structural similarity[J]. IEEE Trans Image Process, 2004, 13(4): 600-612. DOI:10.1109/tip.2003.819861.
[3] Wang Z, Simoncelli E P, Bovik A C. Multiscale structural similarity for image quality assessment[C]//The Thirty-Seventh Asilomar Conference on Signals, Systems and Computers. Pacific Grove, CA, USA, 2003: 1398-1402. DOI:10.1109/acssc.2003.1292216.
[4] Wang Z, Li Q. Information content weighting for perceptual image quality assessment[J]. IEEE Trans Image Process, 2011, 20(5): 1185-1198. DOI:10.1109/TIP.2010.2092435.
[5] Sheikh H R, Bovik A C, de Veciana G. An information fidelity criterion for image quality assessment using natural scene statistics[J]. IEEE Trans Image Process, 2005, 14(12): 2117-2128. DOI:10.1109/tip.2005.859389.
[6] Sheikh H R, Bovik A C. Image information and visual quality[J]. IEEE Trans Image Process, 2006, 15(2): 430-444. DOI:10.1109/tip.2005.859378.
[7] Chandler D M. Most apparent distortion:Full-reference image quality assessment and the role of strategy[J]. Journal of Electronic Imaging, 2010, 19(1): 011006-1-011006-21. DOI:10.1117/1.3267105.
[8] Zhang L, Zhang L, Mou X, et al. FSIM: A feature similarity index for image quality assessment[J]. IEEE Trans Image Process, 2011, 20(8): 2378-2386. DOI:10.1109/TIP.2011.2109730.
[9] Zhang L, Shen Y, Li H. VSI:A visual saliency-induced index for perceptual image quality assessment[J]. IEEE Trans Image Process, 2014, 23(10): 4270-4281. DOI:10.1109/TIP.2014.2346028.
[10] Liu A, Lin W, Narwaria M. Image quality assessment based on gradient similarity[J]. IEEE Trans Image Process, 2012, 21(4): 1500-1512. DOI:10.1109/TIP.2011.2175935.
[11] Xue W, Zhang L, Mou X, et al. Gradient magnitude similarity deviation: A highly efficient perceptual image quality index[J]. IEEE Trans Image Process, 2014, 23(2): 684-695. DOI:10.1109/TIP.2013.2293423.
[12] Wang T, Zhang L, Jia H, et al. Multiscale contrast similarity deviation: An effective and efficient index for perceptual image quality assessment[J]. Signal Processing: Image Communication, 2016, 45: 1-9. DOI:10.1016/j.image.2016.04.005.
[13] Shi Z, Chen K, Pang K, et al. A perceptual image quality index based on global and double-random window similarity[J]. Digital Signal Processing, 2017, 60: 277-286. DOI:10.1016/j.dsp.2016.09.013.
[14] Shi Z, Zhang J, Cao Q, et al. Full-reference image quality assessment based on image segmentation with edge feature[J]. Signal Processing, 2018, 145: 99-105. DOI:10.1016/j.sigpro.2017.11.015.
[15] Xing L, Cai L, Zeng H, et al. A multi-scale contrast-based image quality assessment model for multi-exposure image fusion[J]. Signal Processing, 2018, 145: 233-240. DOI:10.1016/j.sigpro.2017.12.013.
[16] Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]// 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR’05). San Diego, CA, USA, 2005:886-893.DOI:10.1109/cvpr.2005.177.
[17] Sheikh H, Wang Z, Cormack L, et al. LIVE image quality assessment database release 2 [EB/OL].(2005)[2017-06-02].http: //live. ece. utexas.edu/research/ quality.
[18] Ponomarenko N, Lukin V, Zelensky A, et al. TID2008—A database for evaluation of full-reference visual quality assessment metrics[J]. Adv Modern Radioelectron, 2004, 10(4):30-45.
[19] Ninassi A, le Callet P, Autrusseau F. Pseudo no reference image quality metric using perceptual data hiding[C]//Proceedings of SPIE Human Vision and Electronic Imaging. San Jose, CA, USA, 2006: 146-157. DOI:10.1117/12.650780.
[20] Sheikh H R, Sabir M F, Bovik A C. A statistical evaluation of recent full reference image quality assessment algorithms[J]. IEEE Trans Image Process, 2006, 15(11): 3440-3451. DOI:10.1109/tip.2006.881959.