-
1
-
-
51949105499
-
Image super-resolution as sparse representation of raw image patches
-
J. Yang, J. Wright, T. Huang, and Y. Ma, "Image super-resolution as sparse representation of raw image patches," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2008, pp. 1-8.
-
(2008)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 1-8
-
-
Yang, J.1
Wright, J.2
Huang, T.3
Ma, Y.4
-
2
-
-
0031377634
-
Joint map registration and high-resolution image estimation using a sequence of undersampled images
-
Dec.
-
R. C. Hardie, K. J. Barnard, and E. A. Armstrong, "Joint map registration and high-resolution image estimation using a sequence of undersampled images," IEEE Trans. Image Process., vol.6, no.12, pp. 1621-1633, Dec. 1997.
-
(1997)
IEEE Trans. Image Process.
, vol.6
, Issue.12
, pp. 1621-1633
-
-
Hardie, R.C.1
Barnard, K.J.2
Armstrong, E.A.3
-
3
-
-
4544374765
-
Fast and robust multiframe super-resolution
-
Oct.
-
S. Farsiu, M. D. Robinson, M. Elad, and P. Milanfar, "Fast and robust multiframe super-resolution," IEEE Trans. Image Process., vol.13, no.10, pp. 1327-1344, Oct. 2004.
-
(2004)
IEEE Trans. Image Process.
, vol.13
, Issue.10
, pp. 1327-1344
-
-
Farsiu, S.1
Robinson, M.D.2
Elad, M.3
Milanfar, P.4
-
5
-
-
0036709429
-
Limits on super-resolution and how to break them
-
Sep.
-
S. Baker and T. Kanade, "Limits on super-resolution and how to break them," IEEE Trans. Pattern Anal. Mach. Intell., vol.24, no.9, pp. 1167-1183, Sep. 2002.
-
(2002)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.24
, Issue.9
, pp. 1167-1183
-
-
Baker, S.1
Kanade, T.2
-
6
-
-
0018107528
-
Cubic spline for image interpolation and digital filtering
-
Dec.
-
H. S. Hou and H. C. Andrews, "Cubic spline for image interpolation and digital filtering," IEEE Trans. Signal Process., vol.26, no.6, pp. 508-517, Dec. 1978.
-
(1978)
IEEE Trans. Signal Process.
, vol.26
, Issue.6
, pp. 508-517
-
-
Hou, H.S.1
Andrews, H.C.2
-
7
-
-
34948897544
-
Soft edge smoothness prior for alpha channel super resolution
-
S. Dai, M. Han, W. Xu, Y. Wu, and Y. Gong, "Soft edge smoothness prior for alpha channel super resolution," in Proc. IEEE Conf. Comput. Vis. Pattern Class., 2007, pp. 1-8.
-
(2007)
Proc. IEEE Conf. Comput. Vis. Pattern Class
, pp. 1-8
-
-
Dai, S.1
Han, M.2
Xu, W.3
Wu, Y.4
Gong, Y.5
-
8
-
-
51949110386
-
Image super-resolution using gradient profile prior
-
J. Sun, Z. Xu, and H. Shum, "Image super-resolution using gradient profile prior," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2008, pp. 1-8.
-
(2008)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 1-8
-
-
Sun, J.1
Xu, Z.2
Shum, H.3
-
9
-
-
0034291933
-
Learning lowlevel vision
-
W. T. Freeman, E. C. Pasztor, and O. T. Carmichael, "Learning lowlevel vision," Int. J. Comput. Vis., vol.40, no.1, pp. 25-47, 2000.
-
(2000)
Int. J. Comput. Vis.
, vol.40
, Issue.1
, pp. 25-47
-
-
Freeman, W.T.1
Pasztor, E.C.2
Carmichael, O.T.3
-
10
-
-
0041939956
-
Image hallucination with primal sketch priors
-
J. Sun, N. N. Zheng, H. Tao, and H. Shum, "Image hallucination with primal sketch priors," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2003, vol.2, pp. 729-736.
-
(2003)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, vol.2
, pp. 729-736
-
-
Sun, J.1
Zheng, N.N.2
Tao, H.3
Shum, H.4
-
11
-
-
5044219639
-
Super-resolution through neighbor embedding
-
H. Chang, D.-Y. Yeung, and Y. Xiong, "Super-resolution through neighbor embedding," in Proc. IEEE Conf. Comput. Vis. Pattern Class., 2004, vol.1, pp. 275-282.
-
(2004)
Proc. IEEE Conf. Comput. Vis. Pattern Class.
, vol.1
, pp. 275-282
-
-
Chang, H.1
Yeung, D.-Y.2
Xiong, Y.3
-
12
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol.290, no.5500, pp. 2323-2326, 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
14
-
-
34547195896
-
Face halluciantion: Theory and practice
-
C. Liu, H. Y. Shum, and W. T. Freeman, "Face halluciantion: Theory and practice," Int. J. Comput. Vis., vol.75, no.1, pp. 115-134, 2007.
-
(2007)
Int. J. Comput. Vis.
, vol.75
, Issue.1
, pp. 115-134
-
-
Liu, C.1
Shum, H.Y.2
Freeman, W.T.3
-
15
-
-
24644442877
-
Hallucinating faces: Tensorpatch superresolution and coupled residue compensation
-
W. Liu, D. Lin, and X. Tang, "Hallucinating faces: Tensorpatch superresolution and coupled residue compensation," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2006, vol.2, pp. 478-484.
-
(2006)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, vol.2
, pp. 478-484
-
-
Liu, W.1
Lin, D.2
Tang, X.3
-
17
-
-
33645712892
-
Compressed sensing
-
Apr.
-
D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol.52, no.4, pp. 1289-1306, Apr. 2006.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.4
, pp. 1289-1306
-
-
Donoho, D.L.1
-
18
-
-
43749118418
-
Compressed sensing and redundant dictionaries
-
May
-
H. Rauhut, K. Schnass, and P. Vandergheynst, "Compressed sensing and redundant dictionaries," IEEE Trans. Inf. Theory, vol.54, no.5, May 2008.
-
(2008)
IEEE Trans. Inf. Theory
, vol.54
, Issue.5
-
-
Rauhut, H.1
Schnass, K.2
Vandergheynst, P.3
-
19
-
-
33751379736
-
Image denoising via sparse and redundant representations over learned dictionaries
-
Dec.
-
M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries," IEEE Trans. Image Process., vol.15, no.12, pp. 3736-3745, Dec. 2006.
-
(2006)
IEEE Trans. Image Process.
, vol.15
, Issue.12
, pp. 3736-3745
-
-
Elad, M.1
Aharon, M.2
-
20
-
-
55149117992
-
Learning multiscale sparse representations for image and video restoration
-
J. Mairal, G. Sapiro, and M. Elad, "Learning multiscale sparse representations for image and video restoration," Multiscale Model. Sim., vol.7, pp. 214-241, 2008.
-
(2008)
Multiscale Model. Sim.
, vol.7
, pp. 214-241
-
-
Mairal, J.1
Sapiro, G.2
Elad, M.3
-
21
-
-
33750383209
-
K-svd: An algorithm for designing overcomplete dictionaries for sparse representation
-
Nov.
-
M. Aharon, M. Elad, and A. Bruckstein, "K-svd: An algorithm for designing overcomplete dictionaries for sparse representation," IEEE Trans. Signal Process., vol.54, no.11, pp. 4311-4322, Nov. 2006.
-
(2006)
IEEE Trans. Signal Process.
, vol.54
, Issue.11
, pp. 4311-4322
-
-
Aharon, M.1
Elad, M.2
Bruckstein, A.3
-
22
-
-
84864036295
-
Efficient sparse coding algorithms
-
H. Lee, A. Battle, R. Raina, and A. Y. Ng, "Efficient sparse coding algorithms," in Proc. Adv. Neural Inf. Process. Syst., 2007, pp. 801-808.
-
(2007)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 801-808
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.Y.4
-
23
-
-
33646365077
-
-norm solution is also the sparsest solution
-
-norm solution is also the sparsest solution," Commun. Pure Appl. Math., vol.59, no.6, pp. 797-829, 2006.
-
(2006)
Commun. Pure Appl. Math.
, vol.59
, Issue.6
, pp. 797-829
-
-
Donoho, D.L.1
-
24
-
-
33744552752
-
-norm near-solution approximates the sparsest near-solution
-
-norm near-solution approximates the sparsest near-solution," Commun. Pure Appl. Math., vol.59, no.7, pp. 907-934, 2006.
-
(2006)
Commun. Pure Appl. Math.
, vol.59
, Issue.7
, pp. 907-934
-
-
Donoho, D.L.1
-
27
-
-
0001287271
-
Regression shrinkage and selection via the lasso
-
R. Tibshirani, "Regression shrinkage and selection via the lasso," J. Roy. Statist. Soc., Ser. B, vol.58, no.1, pp. 267-288, 1994.
-
(1994)
J. Roy. Statist. Soc., Ser. B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
28
-
-
0036500772
-
Example-based superresolution
-
Mar.-Apr.
-
W. T. Freeman, T. R. Jones, and E. C. Pasztor, "Example-based superresolution," IEEE Comput. Graph. Appl., vol.22, no.2, pp. 56-65, Mar.-Apr. 2002.
-
(2002)
IEEE Comput. Graph. Appl.
, vol.22
, Issue.2
, pp. 56-65
-
-
Freeman, W.T.1
Jones, T.R.2
Pasztor, E.C.3
-
29
-
-
0033592606
-
Learning the parts of objects by nonnegative matrix factorization
-
D. D. Lee and H. S. Seung, "Learning the parts of objects by nonnegative matrix factorization," Nature, vol.401, pp. 788-791, 1999.
-
(1999)
Nature
, vol.401
, pp. 788-791
-
-
Lee, D.D.1
Seung, H.S.2
-
30
-
-
0030779611
-
Sparse coding with an overcomplete basis set: A strategy employed by v1?
-
B. Olshausen and D. Field, "Sparse coding with an overcomplete basis set: A strategy employed by v1?," Vis. Res., vol.37, no.23, pp. 3311-3325, 1997.
-
(1997)
Vis. Res.
, vol.37
, Issue.23
, pp. 3311-3325
-
-
Olshausen, B.1
Field, D.2
-
31
-
-
33846364251
-
Learning sparse overcomplete codes for images
-
J. F. Murray and K. Kreutz-Delgado, "Learning sparse overcomplete codes for images," J. VLSI Signal Process., vol.45, pp. 97-110, 2007.
-
(2007)
J. VLSI Signal Process.
, vol.45
, pp. 97-110
-
-
Murray, J.F.1
Kreutz-Delgado, K.2
-
32
-
-
85032751127
-
Mean squared error: Love it or leave it?-A new look at signal fidelity measures
-
Jan.
-
Z.Wang and A. C. Bovik, "Mean squared error: Love it or leave it?-A new look at signal fidelity measures," IEEE Signal Process. Mag., vol.26, no.1, pp. 98-117, Jan. 2009.
-
(2009)
IEEE Signal Process. Mag.
, vol.26
, Issue.1
, pp. 98-117
-
-
Wang, Z.1
Bovik, A.C.2
-
33
-
-
0000783736
-
Motion analysis for image enhancement: Resolution, occlusion and transparency
-
M. Irani and S. Peleg, "Motion analysis for image enhancement: Resolution, occlusion and transparency," J. Vis. Commun. Image Represent., vol.4, no.4, pp. 324-335, 1993.
-
(1993)
J. Vis. Commun. Image Represent.
, vol.4
, Issue.4
, pp. 324-335
-
-
Irani, M.1
Peleg, S.2
-
34
-
-
33745164328
-
Overview of face recognition grand challenge
-
P. Phillips, P. Flynn, T. Scruggs, K. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, and W. Worek, "Overview of face recognition grand challenge," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2005, pp. 947-954.
-
(2005)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 947-954
-
-
Phillips, P.1
Flynn, P.2
Scruggs, T.3
Bowyer, K.4
Chang, J.5
Hoffman, K.6
Marques, J.7
Min, J.8
Worek, W.9
|