[1]
|
Lu X, Li X. Multiresolution imaging[J]. IEEE Trans Cybern, 2014, 44(1):149-160. |
[2]
|
Irani M, Peleg S. Improving resolution by image registration[J]. Cvgip Graphical Models Image Processing, 1991, 53(3):231-239. |
[3]
|
Hou H S, Andrews H C. Cubic spline for image interpolation and digital filtering[J]. IEEE Transaction on Signal Pressing, 1978, 26(6):508-517. |
[4]
|
Tai Y W, Liu S, Brown M S, et al. Super resolution using edge prior and single image detail synthesis[C]//Computer Vision and Pattern Recognition. IEEE, 2010:2400-2407. |
[5]
|
Sun J, Sun J, Xu Z, et al. Image super-resolution using gradient profile prior[C]//IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2008:1-8. |
[6]
|
You X, Li Q, Tao D, et al. Local metric learning for exemplar-based object detection[J]. IEEE Transactions on Circuits Systems for Video Technology, 2014, 24(8):1265-1276. |
[7]
|
Yu J, Gao X, Tao D, et al. A unified learning framework for single image super-resolution[J]. IEEE Trans Neural Netw Learn Syst, 2014, 25(4):780-792. |
[8]
|
Ren J, Liu J, Guo Z. Context-aware sparse decomposition for image denoising and super-resolution[J]. IEEE Transactions on Image Processing, 2013, 22(4):1454-1467. |
[9]
|
Romano Y, Protter M, Elad M. Single image interpolation via adaptive nonlocal sparsity-based modeling[J]. IEEE Transactions on Image Processing, 2014, 23(7):3085. |
[10]
|
Yang J, Wright J, Huang T, et al. Image super-resolution as sparse representation of raw image patches[C]//Computer Vision and Pattern Recognition, 2008, IEEE Conference on. IEEE, 2008:1-8. |
[11]
|
Wang S, Zhang D, Liang Y, et al. Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis[C]//Computer Vision and Pattern Recognition. IEEE, 2012:2216-2223. |
[12]
|
Zeiler M D, Krishnan D, Taylor G W, et al. Deconvolutional networks[C]//Computer Vision and Pattern Recognition. IEEE, 2010:2528-2535. |
[13]
|
Gu S, Zuo W, Xie Q, et al. Convolutional sparse coding for image super-resolution[C]//IEEE International Conference on Computer Vision. IEEE, 2015:1823-1831. |
[14]
|
Hinton G E, Salakhutdinov R R. Reducing the dimensionality of data with neural networks[J]. American Association for the Advancement of Science, 2006, 313(5786):504-507. |
[15]
|
Hinton G E, S.Osindero Y W. A fast learning algorithm for deep belief nets[J]. Neural Computation, 2006, 18(7):1527-1554. |
[16]
|
Lee H, Ekanadham C, Ng A Y. Sparse deep belief net model for visual area V2[C]//International Conference on Neural Information Processing Systems. Curran Associates Inc, 2007:873-880. |
[17]
|
Schlkopf B, Platt J, Hofmann T. Greedy layer-wise training of deep networks[C]//Advances in Neural Information Processing Systems 19, Proceedings of the Twentieth Conference on Neural Information Processing Systems, 2007:153-160. |
[18]
|
Lee Q V, Ngiam J, Coates A, et al. On optimization meyhods for deep learning[C]//Proceedings of the 28th International Methods for Deep Learning, 2011:265-272. |
[19]
|
Kivinen J, Warmuth M K. Exponentiated gradient versus gradient descent for linear predictors[J]. Information and Computation, 1997, 132(1):1-63. |
[20]
|
Wohlberg B. Efficient convolutional sparse coding[C]//IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2014:7173-7177. |
[21]
|
Zhong L W, Kwok J T. Fast stochastic alternating direction method of multipliers[C]//International Conference on International Conference on Machine Learning, 2014:I-46. |
[22]
|
Kwang In Kim, Younghee Kwon. Single-image super-resolution using sparse regression and natural image prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(6):1127. |