-
1
-
-
33750383209
-
K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
-
Nov, 2, 3
-
M. Aharon, M. Elad, and A. Bruckstein. K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation. Trans. Sign. Proc., 54 (11): 4311-4322, Nov 2006. 2, 3
-
(2006)
Trans. Sign. Proc.
, vol.54
, Issue.11
, pp. 4311-4322
-
-
Aharon, M.1
Elad, M.2
Bruckstein, A.3
-
2
-
-
84898409537
-
Low-complexity single-image super-resolution based on nonnegative neighbor embedding
-
M. Bevilacqua, A. Roumy, C. Guillemot, and M. line Alberi Morel. Low-complexity single-image super-resolution based on nonnegative neighbor embedding. In BMVC, 2012. 5
-
(2012)
BMVC
, vol.5
-
-
Bevilacqua, M.1
Roumy, A.2
Guillemot, C.3
Line Alberi Morel, M.4
-
4
-
-
78651543709
-
Total generalized variation
-
K. Bredies, K. Kunisch, and T. Pock. Total generalized variation. SIAM Journ. on Imag. Sciences, 3 (3): 492-526, 2010. 5
-
(2010)
SIAM Journ. on Imag. Sciences
, vol.3-5
, Issue.3
, pp. 492-526
-
-
Bredies, K.1
Kunisch, K.2
Pock, T.3
-
5
-
-
5044219639
-
Super-resolution through neighbor embedding
-
June
-
H. Chang, D.-Y. Yeung, and Y. Xiong. Super-resolution through neighbor embedding. In CVPR, June 2004. 5
-
(2004)
CVPR
, vol.5
-
-
Chang, H.1
Yeung, D.-Y.2
Xiong, Y.3
-
6
-
-
34547983897
-
An application of markov random fields to range sensing
-
J. Diebel and S. Thrun. An application of markov random fields to range sensing. In NIPS, 2006. 6, 7
-
(2006)
NIPS
, vol.6
, pp. 7
-
-
Diebel, J.1
Thrun, S.2
-
7
-
-
80051766714
-
A general framework for a class of first order primal-dual algorithms for convex optimization in imaging science
-
5
-
E. Esser, X. Zhang, and T. Chan. A general framework for a class of first order primal-dual algorithms for convex optimization in imaging science. SIAM Journ. on Imag. Sciences, 3 (4): 1015-1046, 2010. 5
-
(2010)
SIAM Journ. on Imag. Sciences
, vol.3
, Issue.4
, pp. 1015-1046
-
-
Esser, E.1
Zhang, X.2
Chan, T.3
-
8
-
-
84898811204
-
Image guided depth upsampling using anisotropic total generalized variation
-
6, 7
-
D. Ferstl, C. Reinbacher, R. Ranftl, M. Rüther, and H. Bischof. Image guided depth upsampling using anisotropic total generalized variation. In ICCV, 2013. 1, 6, 7
-
(2013)
ICCV
, vol.1
-
-
Ferstl, D.1
Reinbacher, C.2
Ranftl, R.3
Rüther, M.4
Bischof, H.5
-
10
-
-
84887379469
-
Depth super resolution by rigid body self-similarity in 3d
-
5, 6, 7, 8
-
M. Hornácek, C. Rhemann, M. Gelautz, and C. Rother. Depth super resolution by rigid body self-similarity in 3d. In CVPR, 2013. 2, 5, 6, 7, 8
-
(2013)
CVPR
, vol.2
-
-
Hornácek, M.1
Rhemann, C.2
Gelautz, M.3
Rother, C.4
-
11
-
-
0001033261
-
Robust regression: Asymptotics, conjectures and monte carlo
-
P. J. Huber. Robust regression: Asymptotics, conjectures and monte carlo. Annal. of Stat., 1 (5): 799-821, 1973. 4
-
(1973)
Annal. of Stat.
, vol.1-4
, Issue.5
, pp. 799-821
-
-
Huber, P.J.1
-
12
-
-
84899075451
-
Patch based synthesis for single depth image superresolution
-
6, 7, 8
-
O. Mac Aodha, N. D. Campbell, A. Nair, and G. J. Brostow. Patch based synthesis for single depth image superresolution. In ECCV, 2012. 2, 3, 5, 6, 7, 8
-
(2012)
ECCV
, vol.2
, Issue.3
, pp. 5
-
-
Mac Aodha, O.1
Campbell, N.D.2
Nair, A.3
Brostow, G.J.4
-
13
-
-
84969555870
-
Hierarchical examplebased range-image super-resolution with edge-preservation
-
S. Mandal, A. Bhavsar, and A. Sao. Hierarchical examplebased range-image super-resolution with edge-preservation. In ICIP, 2014. 2
-
(2014)
ICIP
, vol.2
-
-
Mandal, S.1
Bhavsar, A.2
Sao, A.3
-
14
-
-
84898811311
-
Nonparametric blind superresolution
-
T. Michaeli and M. Irani. Nonparametric blind superresolution. In ICCV, 2013. 4
-
(2013)
ICCV
, vol.4
-
-
Michaeli, T.1
Irani, M.2
-
15
-
-
84973917632
-
Video super resolution using duality based tv-l1 optical flow
-
D. Mitzel, T. Pock, T. Schoenemann, and D. Cremers. Video super resolution using duality based tv-l1 optical flow. In DAGM, 2009. 2
-
(2009)
DAGM
, vol.2
-
-
Mitzel, D.1
Pock, T.2
Schoenemann, T.3
Cremers, D.4
-
16
-
-
84939359799
-
An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences
-
4
-
H.-H. Nagel andW. Enkelmann. An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences. TPAMI, 8 (5): 565-593, 1986. 4
-
(1986)
TPAMI
, vol.8
, Issue.5
, pp. 565-593
-
-
Nagel, H.-H.1
Enkelmann, W.2
-
17
-
-
84904508167
-
Super-resolution: A comprehensive survey
-
2
-
K. Nasrollahi and T. Moeslund. Super-resolution: A comprehensive survey. MVA, 25 (6): 1423-1468, 2014. 2
-
(2014)
MVA
, vol.25
, Issue.6
, pp. 1423-1468
-
-
Nasrollahi, K.1
Moeslund, T.2
-
18
-
-
1242284980
-
A variational approach to remove outliers and impulse noise
-
5
-
M. Nikolova. A variational approach to remove outliers and impulse noise. Journal of Mathematical Imaging and Vision, 20 (1-2): 99-120, 2004. 5
-
(2004)
Journal of Mathematical Imaging and Vision
, vol.20
, Issue.1-2
, pp. 99-120
-
-
Nikolova, M.1
-
19
-
-
0030779611
-
Sparse coding with an overcomplete basis set: A strategy employed by v1
-
2
-
B. A. Olshausen and D. J. Field. Sparse coding with an overcomplete basis set: A strategy employed by v1 Vision Research, 37 (23): 3311-3325, 1997. 2
-
(1997)
Vision Research
, vol.37
, Issue.23
, pp. 3311-3325
-
-
Olshausen, B.A.1
Field, D.J.2
-
20
-
-
84863011482
-
High quality depth map upsampling for 3d-tof cameras
-
J. Park, H. Kim, Y.-W. Tai, M. Brown, and I. Kweon. High quality depth map upsampling for 3d-tof cameras. In ICCV, 2011. 6
-
(2011)
ICCV
, vol.6
-
-
Park, J.1
Kim, H.2
Tai, Y.-W.3
Brown, M.4
Kweon, I.5
-
21
-
-
84973901765
-
Variational segmentation of elongated volumetric structures
-
C. Reinbacher, T. Pock, C. Bauer, and H. Bischof. Variational segmentation of elongated volumetric structures. In CVPR. 4
-
CVPR.
, vol.4
-
-
Reinbacher, C.1
Pock, T.2
Bauer, C.3
Bischof, H.4
-
22
-
-
0041939772
-
High-accuracy stereo depth maps using structured light
-
D. Scharstein and R. Szeliski. High-accuracy stereo depth maps using structured light. In CVPR, 2003. 5
-
(2003)
CVPR
, vol.5
-
-
Scharstein, D.1
Szeliski, R.2
-
23
-
-
70450160148
-
Lidarboost: Depth superresolution for tof 3d shape scanning
-
S. Schuon, C. Theobalt, J. Davis, and S. Thrun. Lidarboost: Depth superresolution for tof 3d shape scanning. In CVPR, 2009. 1
-
(2009)
CVPR
, vol.1
-
-
Schuon, S.1
Theobalt, C.2
Davis, J.3
Thrun, S.4
-
24
-
-
84964362868
-
Anchored neighborhood regression for fast example-based super-resolution
-
7
-
R. Timofte, V. De Smet, and L. Van Gool. Anchored neighborhood regression for fast example-based super-resolution. In ICCV, 2013. 2, 5, 6, 7
-
(2013)
ICCV
, vol.2
, Issue.5
, pp. 6
-
-
Timofte, R.1
De Smet, V.2
Van Gool, L.3
-
25
-
-
64649083745
-
Signal recovery from random measurements via orthogonal matching pursuit
-
Dec. 2, 3
-
J. Tropp and A. Gilbert. Signal recovery from random measurements via orthogonal matching pursuit. Trans. Information Theory, 53 (12): 4655-4666, Dec 2007. 2, 3
-
(2007)
Trans. Information Theory
, vol.53
, Issue.12
, pp. 4655-4666
-
-
Tropp, J.1
Gilbert, A.2
-
26
-
-
84973861853
-
A convex approach for variational super-resolution
-
6, 7, 8
-
M. Unger, T. Pock, M. Werlberger, and H. Bischof. A convex approach for variational super-resolution. In DAGM, 2010. 1, 2, 5, 6, 7, 8
-
(2010)
DAGM
, vol.1
, Issue.2
, pp. 5
-
-
Unger, M.1
Pock, T.2
Werlberger, M.3
Bischof, H.4
-
27
-
-
33747070740
-
Image super-resolution survey
-
2
-
J. van Ouwerkerk. Image super-resolution survey. Image and Vision Computing, 24 (10): 1039-1052, 2006. 2
-
(2006)
Image and Vision Computing
, vol.24
, Issue.10
, pp. 1039-1052
-
-
Van Ouwerkerk, J.1
-
28
-
-
78049312324
-
Image superresolution via sparse representation
-
2, 4, 5, 7
-
J. Yang, J. Wright, T. Huang, and Y. Ma. Image superresolution via sparse representation. Trans. Imag. Proc., 19 (11): 2861-2873, 2010. 2, 4, 5, 7
-
(2010)
Trans. Imag. Proc.
, vol.19
, Issue.11
, pp. 2861-2873
-
-
Yang, J.1
Wright, J.2
Huang, T.3
Ma, Y.4
-
29
-
-
84863250968
-
Multiframe superresolution employing a spatially weighted total variation model
-
2, 3
-
Q. Yuan, L. Zhang, and H. Shen. Multiframe superresolution employing a spatially weighted total variation model. Trans. CSVT, 22 (3): 379-392, 2012. 2, 3
-
(2012)
Trans. CSVT
, vol.22
, Issue.3
, pp. 379-392
-
-
Yuan, Q.1
Zhang, L.2
Shen, H.3
-
30
-
-
84855655878
-
On single image scale-up using sparse-representations
-
1, 2, 3, 5, 6, 7, 8
-
R. Zeyde, M. Elad, and M. Protter. On single image scale-up using sparse-representations. In Curves and Surfaces, volume 6920, pages 711-730. 2012. 1, 2, 3, 5, 6, 7, 8
-
(2012)
Curves and Surfaces
, vol.6920
, pp. 711-730
-
-
Zeyde, R.1
Elad, M.2
Protter, M.3
|