-
1
-
-
84901237249
-
Face image super-resolution using 2D CCA
-
[1] An, L., Bhanu, B., Face image super-resolution using 2D CCA. Signal Process. 103 (2014), 184–194.
-
(2014)
Signal Process.
, vol.103
, pp. 184-194
-
-
An, L.1
Bhanu, B.2
-
3
-
-
24644478715
-
A non-local algorithm for image denoising
-
IEEE
-
[3] Buades, A., Coll, B., Morel, J.-M., A non-local algorithm for image denoising. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2, 2005, IEEE, 60–65.
-
(2005)
Proc. IEEE Conf. on Computer Vision and Pattern Recognition
, vol.2
, pp. 60-65
-
-
Buades, A.1
Coll, B.2
Morel, J.-M.3
-
4
-
-
34249336059
-
Super-resolution of face images using kernel PCA-based prior
-
[4] Chakrabarti, A., Rajagopalan, A., Chellappa, R., Super-resolution of face images using kernel PCA-based prior. IEEE Trans. Multimedia 9:4 (2007), 888–892.
-
(2007)
IEEE Trans. Multimedia
, vol.9
, Issue.4
, pp. 888-892
-
-
Chakrabarti, A.1
Rajagopalan, A.2
Chellappa, R.3
-
5
-
-
5044219639
-
Super-resolution through neighbor embedding
-
[5] Chang, H., Yeung, D., Xiong, Y., Super-resolution through neighbor embedding. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 1, 2004, 275–282.
-
(2004)
Proc. IEEE Conf. on Computer Vision and Pattern Recognition
, vol.1
, pp. 275-282
-
-
Chang, H.1
Yeung, D.2
Xiong, Y.3
-
6
-
-
84899912972
-
Spectral-spatial preprocessing using multihypothesis prediction for noise-robust hyperspectral image classification
-
[6] Chen, C., Li, W., Tramel, E.W., Cui, M., Prasad, S., Fowler, J.E., Spectral-spatial preprocessing using multihypothesis prediction for noise-robust hyperspectral image classification. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 7:4 (2014), 1047–1059.
-
(2014)
IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.
, vol.7
, Issue.4
, pp. 1047-1059
-
-
Chen, C.1
Li, W.2
Tramel, E.W.3
Cui, M.4
Prasad, S.5
Fowler, J.E.6
-
7
-
-
84861314173
-
Compressed-sensing recovery of images and video using multihypothesis predictions
-
[7] Chen, C., Tramel, E.W., Fowler, J.E., Compressed-sensing recovery of images and video using multihypothesis predictions. Proceedings of the 45th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2011, 1193–1198.
-
(2011)
Proceedings of the 45th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA
, pp. 1193-1198
-
-
Chen, C.1
Tramel, E.W.2
Fowler, J.E.3
-
8
-
-
84976370108
-
-
Boosting optical character recognition: a super-resolution approach, arXiv preprint arXiv:1506.02211.
-
[8] C. Dong, X. Zhu, Y. Deng, C.C. Loy, Y. Qiao, Boosting optical character recognition: a super-resolution approach, arXiv preprint arXiv:1506.02211(2015).
-
(2015)
-
-
Dong, C.1
Zhu, X.2
Deng, Y.3
Loy, C.C.4
Qiao, Y.5
-
9
-
-
0034291933
-
Learning low-level vision
-
[9] Freeman, W., Pasztor, E., Carmichael, O., Learning low-level vision. Int. J. Comput. Vis. 40 (2000), 25–47.
-
(2000)
Int. J. Comput. Vis.
, vol.40
, pp. 25-47
-
-
Freeman, W.1
Pasztor, E.2
Carmichael, O.3
-
10
-
-
77951283833
-
New learning based super-resolution: use of dwt and igmrf prior
-
[10] Gajjar, P., Joshi, M., New learning based super-resolution: use of dwt and igmrf prior. IEEE Trans. Image Process. 19:5 (2010), 1201–1213.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.5
, pp. 1201-1213
-
-
Gajjar, P.1
Joshi, M.2
-
11
-
-
79960657803
-
Exemplar-based sparse representations for noise robust automatic speech recognition
-
[11] Gemmeke, J.F., Virtanen, T., Hurmalainen, A., Exemplar-based sparse representations for noise robust automatic speech recognition. IEEE Trans. Audio Speech Lang. Process. 19:7 (2011), 2067–2080.
-
(2011)
IEEE Trans. Audio Speech Lang. Process.
, vol.19
, Issue.7
, pp. 2067-2080
-
-
Gemmeke, J.F.1
Virtanen, T.2
Hurmalainen, A.3
-
12
-
-
0033233447
-
Tikhonov regularization and total least squares
-
[12] Golub, G.H., Hansen, P.C., O'Leary, D.P., Tikhonov regularization and total least squares. SIAM J. Matrix Anal. Appl. 21:1 (1999), 185–194.
-
(1999)
SIAM J. Matrix Anal. Appl.
, vol.21
, Issue.1
, pp. 185-194
-
-
Golub, G.H.1
Hansen, P.C.2
O'Leary, D.P.3
-
13
-
-
84941552071
-
Combining sparse representation and local rank constraint for single image super resolution
-
[13] Gong, W., Hu, L., Li, J., Li, W., Combining sparse representation and local rank constraint for single image super resolution. Inf. Sci. 325 (2015), 1–19.
-
(2015)
Inf. Sci.
, vol.325
, pp. 1-19
-
-
Gong, W.1
Hu, L.2
Li, J.3
Li, W.4
-
14
-
-
84937518379
-
Multi-view ensemble manifold regularization for 3D object recognition
-
[14] Hong, C., Yu, J., You, J., Chen, X., Tao, D., Multi-view ensemble manifold regularization for 3D object recognition. Inf. Sci. 320 (2015), 395–405.
-
(2015)
Inf. Sci.
, vol.320
, pp. 395-405
-
-
Hong, C.1
Yu, J.2
You, J.3
Chen, X.4
Tao, D.5
-
15
-
-
79551669210
-
From local pixel structure to global image super-resolution: a new face hallucination framework
-
[15] Hu, Y., Lam, K.-M., Qiu, G., Shen, T., From local pixel structure to global image super-resolution: a new face hallucination framework. IEEE Trans. Image Process. 20:2 (2011), 433–445.
-
(2011)
IEEE Trans. Image Process.
, vol.20
, Issue.2
, pp. 433-445
-
-
Hu, Y.1
Lam, K.-M.2
Qiu, G.3
Shen, T.4
-
16
-
-
77949487523
-
Super-resolution of human face image using canonical correlation analysis
-
[16] Huang, H., He, H., Fan, X., Zhang, J., Super-resolution of human face image using canonical correlation analysis. Pattern Recogn. 43:7 (2010), 2532–2543.
-
(2010)
Pattern Recogn.
, vol.43
, Issue.7
, pp. 2532-2543
-
-
Huang, H.1
He, H.2
Fan, X.3
Zhang, J.4
-
17
-
-
84955257145
-
Cdmma: coupled discriminant multi-manifold analysis for matching low-resolution face images
-
[17] Huang, K., Hu, R., Jiang, J., Han, Z., Wang, F., Cdmma: coupled discriminant multi-manifold analysis for matching low-resolution face images. Proc. IEEE Conf. on MultiMedia Modeling, 2016, 409–420.
-
(2016)
Proc. IEEE Conf. on MultiMedia Modeling
, pp. 409-420
-
-
Huang, K.1
Hu, R.2
Jiang, J.3
Han, Z.4
Wang, F.5
-
18
-
-
84906860902
-
Face super-resolution via multilayer locality-constrained iterative neighbor embedding and intermediate dictionary learning
-
[18] Jiang, J., Hu, R., Wang, Z., Han, Z., Face super-resolution via multilayer locality-constrained iterative neighbor embedding and intermediate dictionary learning. IEEE Trans. Image Process. 23:10 (2014), 4220–4231.
-
(2014)
IEEE Trans. Image Process.
, vol.23
, Issue.10
, pp. 4220-4231
-
-
Jiang, J.1
Hu, R.2
Wang, Z.3
Han, Z.4
-
19
-
-
84904733558
-
Noise robust face hallucination via locality-constrained representation
-
[19] Jiang, J., Hu, R., Wang, Z., Han, Z., Noise robust face hallucination via locality-constrained representation. IEEE Trans. Multimedia 16:5 (2014), 1268–1281, 10.1109/TMM.2014.2311320.
-
(2014)
IEEE Trans. Multimedia
, vol.16
, Issue.5
, pp. 1268-1281
-
-
Jiang, J.1
Hu, R.2
Wang, Z.3
Han, Z.4
-
20
-
-
84986587876
-
Facial image hallucination through coupled-layer neighbor embedding
-
1–1
-
[20] Jiang, J., Hu, R., Wang, Z., Han, Z., Ma, J., Facial image hallucination through coupled-layer neighbor embedding. IEEE Trans. Circuits Syst. Video Technol., PP(99), 2015, 10.1109/TCSVT.2015.2433538 1–1.
-
(2015)
IEEE Trans. Circuits Syst. Video Technol.
, vol.PP
, Issue.99
-
-
Jiang, J.1
Hu, R.2
Wang, Z.3
Han, Z.4
Ma, J.5
-
21
-
-
84959020798
-
Sparse support regression for image super-resolution
-
[21] Jiang, J., Ma, X., Cai, Z., Hu, R., Sparse support regression for image super-resolution. IEEE Photon. J. 7:5 (2015), 1–11.
-
(2015)
IEEE Photon. J.
, vol.7
, Issue.5
, pp. 1-11
-
-
Jiang, J.1
Ma, X.2
Cai, Z.3
Hu, R.4
-
22
-
-
84864036295
-
Efficient sparse coding algorithms
-
[22] Lee, H., Battle, A., Raina, R., Ng, A.Y., Efficient sparse coding algorithms. Advances in Neural Information Processing Systems, 2007, 801–808.
-
(2007)
Advances in Neural Information Processing Systems
, pp. 801-808
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.Y.4
-
23
-
-
84922452838
-
Dual-sparsity regularized sparse representation for single image super-resolution
-
[23] Li, J., Gong, W., Li, W., Dual-sparsity regularized sparse representation for single image super-resolution. Inf. Sci. 298 (2015), 257–273.
-
(2015)
Inf. Sci.
, vol.298
, pp. 257-273
-
-
Li, J.1
Gong, W.2
Li, W.3
-
24
-
-
85027923663
-
Non-rigid structure from motion via sparse representation
-
[24] Li, K., Yang, J., Jiang, J., Non-rigid structure from motion via sparse representation. IEEE Trans. Cybern. 45:8 (2015), 1401–1413.
-
(2015)
IEEE Trans. Cybern.
, vol.45
, Issue.8
, pp. 1401-1413
-
-
Li, K.1
Yang, J.2
Jiang, J.3
-
25
-
-
84867682912
-
Face hallucination based on morphological component analysis
-
[25] Liang, Y., Xie, X., Lai, J.-H., Face hallucination based on morphological component analysis. Signal Process. 93:2 (2013), 445–458.
-
(2013)
Signal Process.
, vol.93
, Issue.2
, pp. 445-458
-
-
Liang, Y.1
Xie, X.2
Lai, J.-H.3
-
26
-
-
0035683807
-
A two-step approach to hallucinating faces: global parametric model and local nonparametric model
-
[26] Liu, C., Shum, H.-Y., Zhang, C.-S., A two-step approach to hallucinating faces: global parametric model and local nonparametric model. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 1, 2001, 192–198.
-
(2001)
Proc. IEEE Conf. on Computer Vision and Pattern Recognition
, vol.1
, pp. 192-198
-
-
Liu, C.1
Shum, H.-Y.2
Zhang, C.-S.3
-
27
-
-
84922569289
-
2e estimation of transformation for non-rigid registration
-
2e estimation of transformation for non-rigid registration. IEEE Trans. Signal Process. 63:5 (2015), 1115–1129.
-
(2015)
IEEE Trans. Signal Process.
, vol.63
, Issue.5
, pp. 1115-1129
-
-
Ma, J.1
Qiu, W.2
Zhao, J.3
Ma, Y.4
Yuille, A.L.5
Tu, Z.6
-
28
-
-
85027932133
-
Robust feature matching for remote sensing image registration via locally linear transforming
-
[28] Ma, J., Zhou, H., Zhao, J., Gao, Y., Jiang, J., Tian, J., Robust feature matching for remote sensing image registration via locally linear transforming. IEEE Trans. Geosci. Remote Sens. 53:12 (2015), 6469–6481.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.12
, pp. 6469-6481
-
-
Ma, J.1
Zhou, H.2
Zhao, J.3
Gao, Y.4
Jiang, J.5
Tian, J.6
-
29
-
-
76749086940
-
Hallucinating face by position-patch
-
[29] Ma, X., Zhang, J., Qi, C., Hallucinating face by position-patch. Pattern Recogn. 43:6 (2010), 2224–2236.
-
(2010)
Pattern Recogn.
, vol.43
, Issue.6
, pp. 2224-2236
-
-
Ma, X.1
Zhang, J.2
Qi, C.3
-
30
-
-
52549116762
-
An example-based face hallucination method for single-frame, low-resolution facial images
-
[30] Park, J.-S., Lee, S.-W., An example-based face hallucination method for single-frame, low-resolution facial images. IEEE Trans. Image Process. 17:10 (2008), 1806–1816.
-
(2008)
IEEE Trans. Image Process.
, vol.17
, Issue.10
, pp. 1806-1816
-
-
Park, J.-S.1
Lee, S.-W.2
-
31
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
[31] Roweis, S.T., Saul, L.K., Nonlinear dimensionality reduction by locally linear embedding. Science 290:5500 (2000), 2323–2326.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
32
-
-
84904295448
-
Global consistency, local sparsity and pixel correlation: a unified framework for face hallucination
-
[32] Shi, J., Liu, X., Qi, C., Global consistency, local sparsity and pixel correlation: a unified framework for face hallucination. Pattern Recognit. 47:11 (2014), 3520–3534.
-
(2014)
Pattern Recognit.
, vol.47
, Issue.11
, pp. 3520-3534
-
-
Shi, J.1
Liu, X.2
Qi, C.3
-
33
-
-
77649336466
-
A new ranking method for principal components analysis and its application to face image analysis
-
[33] Thomaz, C.E., Giraldi, G.A., A new ranking method for principal components analysis and its application to face image analysis. Image Vis. Comput. 28:6 (2010), 902–913, 10.1016/j.imavis.2009.11.005.
-
(2010)
Image Vis. Comput.
, vol.28
, Issue.6
, pp. 902-913
-
-
Thomaz, C.E.1
Giraldi, G.A.2
-
34
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
[34] Tibshirani, R., Regression shrinkage and selection via the lasso. J. R. Stat. Soc., Ser. B 58 (1994), 267–288.
-
(1994)
J. R. Stat. Soc., Ser. B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
35
-
-
64649083745
-
Signal recovery from random measurements via orthogonal matching pursuit
-
[35] Tropp, J., Gilbert, A.C., et al. Signal recovery from random measurements via orthogonal matching pursuit. IEEE Trans. Inf. Theory 53:12 (2007), 4655–4666.
-
(2007)
IEEE Trans. Inf. Theory
, vol.53
, Issue.12
, pp. 4655-4666
-
-
Tropp, J.1
Gilbert, A.C.2
-
36
-
-
84893637098
-
A comprehensive survey to face hallucination
-
[36] Wang, N., Tao, D., Gao, X., Li, X., Li, J., A comprehensive survey to face hallucination. Int. J. Comput. Vis. 106:1 (2014), 9–30.
-
(2014)
Int. J. Comput. Vis.
, vol.106
, Issue.1
, pp. 9-30
-
-
Wang, N.1
Tao, D.2
Gao, X.3
Li, X.4
Li, J.5
-
37
-
-
23944509273
-
Hallucinating face by eigentransformation
-
[37] Wang, X., Tang, X., Hallucinating face by eigentransformation. IEEE Trans. Syst. Man Cybern. Part C-Appl. Rev. 35:3 (2005), 425–434.
-
(2005)
IEEE Trans. Syst. Man Cybern. Part C-Appl. Rev.
, vol.35
, Issue.3
, pp. 425-434
-
-
Wang, X.1
Tang, X.2
-
38
-
-
1942436689
-
Image quality assessment: from error visibility to structural similarity
-
[38] Wang, Z., Bovik, A., Sheikh, H., Simoncelli, E., Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13:4 (2004), 600–612.
-
(2004)
IEEE Trans. Image Process.
, vol.13
, Issue.4
, pp. 600-612
-
-
Wang, Z.1
Bovik, A.2
Sheikh, H.3
Simoncelli, E.4
-
39
-
-
84900537318
-
Face hallucination via weighted adaptive sparse regularization
-
[39] Wang, Z., Hu, R., Wang, S., Jiang, J., Face hallucination via weighted adaptive sparse regularization. IEEE Trans. Circuits Syst. Video Technol. 24:5 (2014), 802–813.
-
(2014)
IEEE Trans. Circuits Syst. Video Technol.
, vol.24
, Issue.5
, pp. 802-813
-
-
Wang, Z.1
Hu, R.2
Wang, S.3
Jiang, J.4
-
40
-
-
78049312324
-
Image super-resolution via sparse representation
-
[40] Yang, J., Wright, J., Huang, T., Ma, Y., Image super-resolution via sparse representation. IEEE Trans. Image Process. 19:11 (2010), 2861–2873.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.11
, pp. 2861-2873
-
-
Yang, J.1
Wright, J.2
Huang, T.3
Ma, Y.4
-
41
-
-
84904310016
-
Image clustering based on sparse patch alignment framework
-
[41] Yu, J., Hong, R., Wang, M., You, J., Image clustering based on sparse patch alignment framework. Pattern Recognit. 47:11 (2014), 3512–3519.
-
(2014)
Pattern Recognit.
, vol.47
, Issue.11
, pp. 3512-3519
-
-
Yu, J.1
Hong, R.2
Wang, M.3
You, J.4
-
42
-
-
84911897421
-
High-order distance-based multiview stochastic learning in image classification
-
[42] Yu, J., Rui, Y., Tang, Y.Y., Tao, D., High-order distance-based multiview stochastic learning in image classification. IEEE Trans. Cybern. 44:12 (2014), 2431–2442, 10.1109/TCYB.2014.2307862.
-
(2014)
IEEE Trans. Cybern.
, vol.44
, Issue.12
, pp. 2431-2442
-
-
Yu, J.1
Rui, Y.2
Tang, Y.Y.3
Tao, D.4
-
43
-
-
84863401481
-
Nonlinear learning using local coordinate coding
-
[43] Yu, K., Zhang, T., Gong, Y., Nonlinear learning using local coordinate coding. Advances in Neural Information Processing Systems, 2009, 2223–2231.
-
(2009)
Advances in Neural Information Processing Systems
, pp. 2223-2231
-
-
Yu, K.1
Zhang, T.2
Gong, Y.3
-
44
-
-
84949845174
-
Coupled deep autoencoder for single image super-resolution
-
[44] Zeng, K., Yu, J., Wang, R., Li, C., Tao, D., Coupled deep autoencoder for single image super-resolution. IEEE Trans. Cybern., In Press, 2015.
-
(2015)
IEEE Trans. Cybern.
, vol.In Press
-
-
Zeng, K.1
Yu, J.2
Wang, R.3
Li, C.4
Tao, D.5
-
45
-
-
80052908072
-
Hallucinating face in the DCT domain
-
[45] Zhang, W., Cham, W.-K., Hallucinating face in the DCT domain. IEEE Trans. Image Process. 20:10 (2011), 2769–2779.
-
(2011)
IEEE Trans. Image Process.
, vol.20
, Issue.10
, pp. 2769-2779
-
-
Zhang, W.1
Cham, W.-K.2
-
46
-
-
84906781156
-
Video super-resolution based on automatic key-frame selection and feature-guided variational optical flow
-
[46] Zhu, Y., Li, K., Jiang, J., Video super-resolution based on automatic key-frame selection and feature-guided variational optical flow. Signal Processing: Image Communication 29:8 (2014), 875–886.
-
(2014)
Signal Processing: Image Communication
, vol.29
, Issue.8
, pp. 875-886
-
-
Zhu, Y.1
Li, K.2
Jiang, J.3
-
47
-
-
80051736174
-
Gini index as sparsity measure for signal reconstruction from compressive samples
-
[47] Zonoobi, D., Kassim, A., Venkatesh, Y.V., et al. Gini index as sparsity measure for signal reconstruction from compressive samples. IEEE J. Sel. Top. Signal Process. 5:5 (2011), 927–932.
-
(2011)
IEEE J. Sel. Top. Signal Process.
, vol.5
, Issue.5
, pp. 927-932
-
-
Zonoobi, D.1
Kassim, A.2
Venkatesh, Y.V.3
-
48
-
-
84955630405
-
Video super-resolution using an adaptive superpixel-guided auto-regressive model
-
[48] Li, K., Zhu, Y., Yang, J., Jiang, J., Video super-resolution using an adaptive superpixel-guided auto-regressive model. Pattern Recognit. 51 (2016), 59–71.
-
(2016)
Pattern Recognit.
, vol.51
, pp. 59-71
-
-
Li, K.1
Zhu, Y.2
Yang, J.3
Jiang, J.4
|