[1] Yang J, Wright J, Huang T S and Ma Y, IEEE Transactions on Image Processing 19, 2861 (2010).
[2] Zeyde R, Elad M and Protter M, On Single Image Scale-Up Using Sparse-Representations, International Conference on Curves and Surfaces, 711 (2010).
[3] Timofte R, De V and Van Gool L, Anchored Neighborhood Regression for Fast Example-Based Super- Resolution, IEEE International Conference on Computer Vision, 1920 (2013).
[4] Timofte R, Smet V D and Gool L V, A+: Adjusted Anchored Neighborhood Regression for Fast Super- Resolution, Asian Conference on Computer Vision Springer International Publishing, 111 (2014).
[5] Roy S and Chaudhuri S S, International Journal of Modern Education and Computer Science 8, 46 (2016).
[6] Ma J, Wang X Y, Zhang Z W and Liu Y L, Optoelectronics ·Laster 27, 87 (2016). (in Chinese)
[7] Dong W S, Zhang L, Lukac R and Shi G, IEEE Transactions on Image Processing 22, 1382 ( 2013)
[8] Zheng X T, Yuan Y and Lu X Q, Acta Optica Sinica 37, 57 (2017). (in Chinese)
[9] Donoho D L, Communications on Pure and Applied Mathematics 59, 907 (2010).
[10] Chen Y, Hou C P and Zhou Y, Journal of Optoelectronics ·Laster 26, 1618 (2015). (in Chinese)
[11] Roweis S T and Saul L K, Science 290, 2323 (2000).
[12] Chang H, Yeung D Y and Xiong Y, Super-Resolution Through Neighbor Embedding, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 275 (2004).
[13] Li X F, Zeng L, Xu J and Ma S Q, Journal of University of Electronic Science & Technology of China 44, 22 (2015).
[14] Huang D T, Huang W Q, Gu P T, Liu P Z and Luo Y M, Infrared Physics & Technology 83, 103 (2017).
[15] Martin B D, Charless F, Doron T and Malik J, A Database of human Segmented Natural Images and Its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics, IEEE International Conference on Computer Vision, 416 (2001).