1 |
W. T. Freeman, E. C. Pasztor, and O. T. Carmichael, "Learning low-level vision," International Journal of Computer Vision, Vol.40, No.11, pp. 25-47. 2000.
DOI
|
2 |
D. Glasner, S. Bagon, and M. Irani, "Super-resolution from a single image," Proceeding of International Conference on Computer Vision, 2009.
|
3 |
M. Irani, and S. Peleg, "Improving resolution by image registration," Graphical models and Image Processing, pp.231-239, 1991.
|
4 |
S. Peled, and Y. L. Cun, "Super-resolution in MRI: application to human white matter fiber tract visualization by diffusion tensor imaging," Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine , Vol.45, No.1, pp. 29-35, 2001.
DOI
|
5 |
W. Shi, J. Caballero, C. Ledig, X. Zhuang, W. Bai, K. Bhatia, A. Marvao, T. Dawes, D. ORegan, and D. Rueckert, "Cardiac image super-resolution with global correspondence using multi-atlas patchmatch," Proceeding of International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.9-16. 2013.
|
6 |
W. Zou and P. C. Yuen, "Very low resolution face recognition problem," IEEE Transaction on Image Processing, Vol.21, No.1, pp.327-340, July 2011.
DOI
|
7 |
B. K. Gunturk, A. U. Batur, Y. Altunbasak, M. H. Hayes, and R. M. Mersereau, "Eigenface-domain super-resolution for face recognition," IEEE Transaction on Image Processing, Vol.12, No.5, pp.597-606, 2003.
DOI
|
8 |
D. Y. Han, "Comparison of commonly used image interpolation methods," Proceeding of International Conference on Computer Science and Electronics Engineering, Mar 2013.
|
9 |
C. E. Duchon, "Lanczos filtering in one and two dimensions," Journal of Applied Meteorology, pp.1016-1022, 1979.
|
10 |
H. Chang, D. Y. Yeung, and Y. Xiong, "Super-resolution through neighbor embedding," Proceeding of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2004.
|
11 |
C. G. Marco Bevilacqua, Aline Roumy, and M. L. A. Morel, "Low complecity single-image super-resolution based on nonnegative neighbor embedding," Proceeding of IEEE British Machine Vision Conference, 2012.
|
12 |
R. Timofte, V. De Smet, and L. Van Gool, "A+: Adjusted anchored neighborhood regression for fast super-resolution," Proceeding of Asian Conference on Computer Vision (ACCV), Nov 2014.
|
13 |
J. Yang, J. Wright, T. S. Huang, and Y. Ma, "Image super-resolution via sparse representation," IEEE Transaction on Image Processing, Vol.19, No.11, Nov 2010.
|
14 |
A. Krizhevsky, I. Sutskever, and G. Hinton, "Imagenet calssification with deep convolutiuon neural network," Neural Information Processing Systems (NIPS), 2012.
|
15 |
C. Dong, C. C. Loy, K. He, and X. Tang, "Image super-resolution using deep convolution networks," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.38, No.2, Feb 2016.
|
16 |
C. Dong, C. C. Loy, K. He, and X. Tang, "Accelerating the super-resolution convolutional neural network." Proceeding of European Conference on Computer Vision (ECCV), 2016.
|
17 |
J. Kim, J. Kwon, and K. Mu. Lee, "Accurate image super-resolution using very deep convolution networks," Proceeding of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2016.
|
18 |
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. L. Cun, "Overfeat: Intergrated recognition, localization and detection using convolution networks," Proceeding of IEEE conference on Computer Vision and Pattern Recognition (CVPR), Dec 2013.
|
19 |
K. He, X. Y. Zhang, S. Q. Ren, and J. S, "Deep residual learning for image recognition," Proceeding of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Dec 2015.
|
20 |
G. H, Z. L, L. van der Maaten, and K. Q. Weinberger, "Densely connected convolutional networks," Proceeding of IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2017.
|
21 |
S. Ioffe, and C. Szegedy, "Batch normalization: Accelerating deep network training by reducing internal covariate shift," Procceding of International Conference on Machine Learning(ICML), pp 1097-1105, 2012.
|
22 |
Nah, T. H. Kim, and K. M. Lee, "Deep multi-scale convolutional neural network for dynamic scene deblurring," Proceeding of IEEE conference on Computer Vision and Pattern Recognition (CVPR), Dec. 2016.
|
23 |
R. Zeyde, M. Elad, and M. Protter, "On single image scale-up using sparse-representations," Proceeding of International Conference on Curves and Surfaces. pp.711-730, 2012.
|
24 |
R. Timofte, R. Rothe, and L. Cool, "Seven ways to improve example-based single image super resolution," Proceeding of IEEE conference on Computer Vision and Pattern Recognition (CVPR), pp.1865-1873, Jun 2016.
|
25 |
D. Martin, C. Fowlkes, D. Tal, and J. Malik, "A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics," Proceeding of IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2001.
|