Hardie R C, Barnard K J, Armstrong E E. Jiont map registration and high-resolution image estimation using a sequence of undersampled images[J]. IEEE Transactions on Image Processing, 1997, 6(12): 1621-1633.
[2]
Farsiu S, Robinson P, Elad M, et al. Fast and robust multi-frame super-resolution[J]. IEEE Transactions on Image Processing, 2001, 13(10): 1327-1344.
[3]
Shao W Z, Wei Z H. Super-resolution reconstruction based on generalized huber-MRF image modeling[J]. Journal of Software, 2007, 18(10): 2434-2444.[邵文泽, 韦志辉. 基于广义Huber-MRF图像建模的超分辨率复原算法[J]. 软件学报, 2007, 18(10): 2434-2444.]
[4]
Huang Q L, Liu S Q, Sun J H, et al. Single image super-resolution combined with learning algorithm[J]. Computer Engineering and Application, 2013, 49(23):186-190.[黄全亮, 刘水清, 孙金海, 等. 融合学习算法的单帧图像超分辨率复原[J]. 计算机工程与应用,2013, 49(23):186-190.]
[5]
He H Y, Li J H, Luo X N. Single image super-resolution using gaussian mixture model[C]//Proceedings of International Conference on Pattern Recognition. Tsukuba, Japan: IEEE, 2012: 1916-1919.
[6]
Ni K S, Nguyen T Q. Image superresolution using support vector regression[J]. IEEE Transactions on Image Processing, 2007, 16(6): 1596-1610.
[7]
Pu J, Zhang J P. Super-resolution through dictionary learning and sparse representation[J]. Pattern Recognition and Artificial Intelligence, 2010, 23(3): 335-340.[浦剑, 张军平. 基于字典学习和稀疏表示的超分辨方法[J]. 模式识别与人工智能, 2010, 23(3): 335-340.]
[8]
Yang J C, Wright J, Huang T, et al. Image super-resolution via sparse representation[J]. IEEE Transactions on Image Processing, 2010,19(20): 2861-2873.
[9]
Zeyde R, Elad M, Protter M. On single image scaleup using sparse representation[C]//Proceedings of International Conference on Curves and Surfaces. Avignon, France: Springer, 2011: 132-146.
[10]
Dong W S, Zhang L, Shi G, et al. Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization[J]. IEEE Transactions on Image Processing, 2011, 20(7): 1838-1857.
[11]
Chang S G, Yu B, Vetterli M. Adaptive wavelet thresholding for image denoising and compression[J]. IEEE Transactions on Image Processing, 2000, 9(9):1532-1546.
[12]
Kim C, Choi K, Hwang K, et al. Learning-based super-resolution using a multi-resolution wavelet approach[C]//Proceedings of IWAIT. Korean: Korea University, 2009: 309-313.
[13]
Aharon M, Elad M, Bruckstein A. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation[J]. IEEE Transactions on Signal Processing, 2006, 4(11): 4311-4322.
[14]
Goldstein T, Osher S. The split Bregman algorithm for L1 regularized problems[J]. SIAM Journal on Imaging Science, 2009, 2(2): 323-343.
[15]
Cai J F, Osher S, Shen Z W. Split Bregman methods and frame based image restoration[J]. SIAM Journal on Multiscale Modeling and Simulation, 2009, 8(2): 337-369.