[1] Wang X G, Tang X O. Hallucinating face by eigentransformation[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 35, 425-434(2005). http://ieeexplore.ieee.org/document/1487591/

[2] Chen J, Gao H B, Wang W G et al. Methods and applications of image super-resolution restoration[J]. Laser & Optoelectronics Progress, 52, 020004(2015).

[3] Wang Y R, Luo Y H, Yin D. A super resolution technology of face image for surveillance video[J]. Acta Optica Sinica, 37, 0318012(2017).

[4] Xiao J S, Liu E Y, Zhu L et al. Improved image super-resolution algorithm based on convolutional neural network[J]. Acta Optica Sinica, 37, 0318011(2017).

[5] Wang H, Lu F F, Li J W. Single image super-resolution via support vector regression and image self-similarity[J]. Journal of Image and Graphics, 21, 986-992(2016).

[6] Dai S Y, Han M, Xu W et al. Soft edge smoothness prior for alpha channel super resolution. [C]// Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1-8(2007).

[7] Sun J, Xu Z B, Shum H Y. Image super-resolution using gradient profile prior. [C]// Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1-8(2008).

[8] Farsiu S, Robinson M D, Elad M et al. Fast and robust multiframe super resolution[J]. IEEE Transactions on Image Processing, 13, 1327-1344(2004). http://www.ncbi.nlm.nih.gov/pubmed/15462143

[9] Dong W S, Zhang L, Shi G M et al. Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization[J]. IEEE Transactions on Image Processing, 20, 1838-1857(2011). http://ieeexplore.ieee.org/document/5701777/

[10] Yang S Y, Wang M, Sun Y X et al. Compressive sampling based single-image super-resolution reconstruction by dual-sparsity and non-local similarity regularizer[J]. Pattern Recognition Letters, 33, 1049-1059(2012). http://www.sciencedirect.com/science/article/pii/S0167865512000384

[11] Freeman W T, Jones T R, Pasztor E C. Example-based super-resolution[J]. IEEE Computer Graphics and Applications, 22, 56-65(2002).

[12] Chang H, Yeung D Y, Xiong Y M. Super-resolution through neighbor embedding. [C]// Proceedings of the 2004 IEEE Computer Socitety Conference on Computer Vision and Pattern Recognition, 8152809(2004).

[13] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 52, 1289-1306(2006).

[14] Yang J C, Wright J, Huang T S et al. Image super resolution via sparse representation[J]. IEEE Transactions on Image Processing, 19, 2861-2873(2010). http://europepmc.org/abstract/MED/20483687

[15] Dong C, Loy C C, He K M et al. Image super-resolution using deep convolutional networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 295-307(2016).

[16] Jian M W, Lam K M. Simultaneous hallucination and recognition of low-resolution faces based on singular value decomposition[J]. IEEE Transactions on Circuits & Systems for Video Technology, 25, 1761-1772(2015).

[17] Yang M C. Wang Y C F. A self-learning approach to single image super-resolution[J]. IEEE Transcations on Multimedia, 15, 498-508(2013). http://ieeexplore.ieee.org/document/6376230/

[18] Liu C, Shum H Y, Freeman W T. Face hallucination: theory and practice[J]. International Journal of Computer Vision, 75, 115-134(2007). http://link.springer.com/article/10.1007/s11263-006-0029-5

[19] Yang C Y, Yang M H. Fast direct super-resolution by simple functions. [C]// Proceedings of IEEE International Conference on Computer Vision, 561-568(2013).

[20] Jiang J J, Hu R M, Wang Z Y et al. Noise robust face hallucination via locality-constrained representation[J]. IEEE Transaction on Multimedia, 16, 1268-1281(2014).

[21] Li X G, Xia Q, Zhuo L et al. A face hallucination algorithm via KPLS-eigentransformation model. [C]// Proceedings of IEEE International Conference on Signal Processing, Communication and Computing, 462-467(2012).

[22] Zhang W, Cham W K. Hallucinating face in the DCT domain[J]. IEEE Transactions on Image Processing, 20, 2769-2779(2011).

[23] Boonim K, Sanguansat P. Error estimation by regression model and eigentransformation for face hallucination. [C]// Proceedings of 2010 First International Conference on Pervasive Computing, Signal Processing and Applications, 873-878(2010).

[24] Liu Y, Cui J W. Image restoration based on hybrid Wiener/projection onto concex set salgorithm[J]. Chinese Journal of Lasers, 37, 789-794(2010).