-
2
-
-
85032751363
-
Super-resolution image reconstruction: A technical overview
-
May
-
S. C. Park, M. K. Park, and M. G. Kang, " Super-resolution image reconstruction: A technical overview, " IEEE Signal Process. Mag., vol. 20, no. 3, pp. 21-36, May 2003.
-
(2003)
IEEE Signal Process. Mag.
, vol.20
, Issue.3
, pp. 21-36
-
-
Park, S.C.1
Park, M.K.2
Kang, M.G.3
-
3
-
-
34247277702
-
Super resolution of images and video
-
A. K. Katsaggelos, R. Molina, and J. Mateos, " Super resolution of images and video, " Synth. Lect. Image, Video, Multimedia Process., vol. 1, no. 1, pp. 1-134, 2007.
-
(2007)
Synth. Lect. Image, Video, Multimedia Process.
, vol.1
, Issue.1
, pp. 1-134
-
-
Katsaggelos, A.K.1
Molina, R.2
Mateos, J.3
-
4
-
-
84904508167
-
Super-resolution: A comprehensive survey
-
K. Nasrollahi and T. B. Moeslund, " Super-resolution: A comprehensive survey, " Mach. Vis. Appl., vol. 25, no. 6, pp. 1423-1468, 2014.
-
(2014)
Mach. Vis. Appl.
, vol.25
, Issue.6
, pp. 1423-1468
-
-
Nasrollahi, K.1
Moeslund, T.B.2
-
5
-
-
0000089810
-
Multiframe image restoration and registration
-
R. Y. Tsai and T. S. Huang, " Multiframe image restoration and registration, " Adv. Comput. Vis. Image Process., vol. 1, no. 2, pp. 317-339, 1984.
-
(1984)
Adv. Comput. Vis. Image Process.
, vol.1
, Issue.2
, pp. 317-339
-
-
Tsai, R.Y.1
Huang, T.S.2
-
7
-
-
85032751273
-
High-resolution images from low-resolution compressed video
-
May
-
C. A. Segall, R. Molina, and A. K. Katsaggelos, " High-resolution images from low-resolution compressed video, " IEEE Signal Process. Mag., vol. 20, no. 3, pp. 37-48, May 2003.
-
(2003)
IEEE Signal Process. Mag.
, vol.20
, Issue.3
, pp. 37-48
-
-
Segall, C.A.1
Molina, R.2
Katsaggelos, A.K.3
-
8
-
-
3142678841
-
Bayesian resolution enhancement of compressed video
-
Jul.
-
C. A. Segall, A. K. Katsaggelos, R. Molina, and J. Mateos, " Bayesian resolution enhancement of compressed video, " IEEE Trans. Image Process., vol. 13, no. 7, pp. 898-911, Jul. 2004.
-
(2004)
IEEE Trans. Image Process.
, vol.13
, Issue.7
, pp. 898-911
-
-
Segall, C.A.1
Katsaggelos, A.K.2
Molina, R.3
Mateos, J.4
-
9
-
-
77952633941
-
Maximum a posteriori video super-resolution using a new multichannel image prior
-
Jun.
-
S. P. Belekos, N. P. Galatsanos, and A. K. Katsaggelos, " Maximum a posteriori video super-resolution using a new multichannel image prior, " IEEE Trans. Image Process., vol. 19, no. 6, pp. 1451-1464, Jun. 2010.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.6
, pp. 1451-1464
-
-
Belekos, S.P.1
Galatsanos, N.P.2
Katsaggelos, A.K.3
-
10
-
-
84869218422
-
Fast image/video upsampling
-
Dec. Art. no. 153
-
Q. Shan, Z. Li, J. Jia, and C.-K. Tang, " Fast image/video upsampling, " ACM Trans. Graph., vol. 27, no. 5, Dec. 2008, Art. no. 153.
-
(2008)
ACM Trans. Graph.
, vol.27
, Issue.5
-
-
Shan, Q.1
Li, Z.2
Jia, J.3
Tang, C.-K.4
-
11
-
-
69349102108
-
Super-resolution without explicit subpixel motion estimation
-
Sep.
-
H. Takeda, P. Milanfar, M. Protter, and M. Elad, " Super-resolution without explicit subpixel motion estimation, " IEEE Trans. Image Process., vol. 18, no. 9, pp. 1958-1975, Sep. 2009.
-
(2009)
IEEE Trans. Image Process.
, vol.18
, Issue.9
, pp. 1958-1975
-
-
Takeda, H.1
Milanfar, P.2
Protter, M.3
Elad, M.4
-
12
-
-
84866005025
-
Video super-resolution using codebooks derived from key-frames
-
Sep.
-
E. M. Hung, R. L. D. Queiroz, F. Brandi, K. F. D. Oliveira, and D. Mukherjee, " Video super-resolution using codebooks derived from key-frames, " IEEE Trans. Circuits Syst. Video Technol., vol. 22, no. 9, pp. 1321-1331, Sep. 2012.
-
(2012)
IEEE Trans. Circuits Syst. Video Technol.
, vol.22
, Issue.9
, pp. 1321-1331
-
-
Hung, E.M.1
Queiroz, R.L.D.2
Brandi, F.3
Oliveira, K.F.D.4
Mukherjee, D.5
-
13
-
-
84862559786
-
Interpolation-based image superresolution using multisurface fitting
-
Jul.
-
F. Zhou, W. Yang, and Q. Liao, " Interpolation-based image superresolution using multisurface fitting, " IEEE Trans. Image Process., vol. 21, no. 7, pp. 3312-3318, Jul. 2012.
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.7
, pp. 3312-3318
-
-
Zhou, F.1
Yang, W.2
Liao, Q.3
-
14
-
-
84916891576
-
Nonlocal pixel selection for multisurface fitting-based super-resolution
-
Dec.
-
F. Zhou, S.-T. Xia, and Q. Liao, " Nonlocal pixel selection for multisurface fitting-based super-resolution, " IEEE Trans. Circuits Syst. Video Technol., vol. 24, no. 12, pp. 2013-2017, Dec. 2014.
-
(2014)
IEEE Trans. Circuits Syst. Video Technol.
, vol.24
, Issue.12
, pp. 2013-2017
-
-
Zhou, F.1
Xia, S.-T.2
Liao, Q.3
-
15
-
-
84891593494
-
On Bayesian adaptive video super resolution
-
Feb.
-
C. Liu and D. Sun, " On Bayesian adaptive video super resolution, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 2, pp. 346-360, Feb. 2014.
-
(2014)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.36
, Issue.2
, pp. 346-360
-
-
Liu, C.1
Sun, D.2
-
16
-
-
84959250156
-
Handling motion blur in multi-frame super-resolution
-
Jun.
-
Z. Ma, R. Liao, X. Tao, L. Xu, J. Jia, and E. Wu, " Handling motion blur in multi-frame super-resolution, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2015, pp. 5224-5232.
-
(2015)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 5224-5232
-
-
Ma, Z.1
Liao, R.2
Tao, X.3
Xu, L.4
Jia, J.5
Wu, E.6
-
17
-
-
84973904649
-
Video super-resolution via deep draft-ensemble learning
-
Dec.
-
R. Liao, X. Tao, R. Li, Z. Ma, and J. Jia, " Video super-resolution via deep draft-ensemble learning, " in Proc. IEEE Int. Conf. Comput. Vis., Dec. 2015, pp. 531-539.
-
(2015)
Proc. IEEE Int. Conf. Comput. Vis.
, pp. 531-539
-
-
Liao, R.1
Tao, X.2
Li, R.3
Ma, Z.4
Jia, J.5
-
18
-
-
0035424287
-
A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur
-
Aug.
-
M. Elad and Y. Hel-Or, " A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur, " IEEE Trans. Image Process., vol. 10, no. 8, pp. 1187-1193, Aug. 2001.
-
(2001)
IEEE Trans. Image Process.
, vol.10
, Issue.8
, pp. 1187-1193
-
-
Elad, M.1
Hel-Or, Y.2
-
19
-
-
51949105499
-
Image super-resolution as sparse representation of raw image patches
-
Jun.
-
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. (CVPR), Jun. 2008, pp. 1-8.
-
(2008)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 1-8
-
-
Yang, J.1
Wright, J.2
Huang, T.3
Ma, Y.4
-
20
-
-
78049312324
-
Image super-resolution via sparse representation
-
Nov.
-
J. Yang, J. Wright, T. S. Huang, and Y. Ma, " Image super-resolution via sparse representation, " IEEE Trans. Image Process., vol. 19, no. 11, pp. 2861-2873, Nov. 2010.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.11
, pp. 2861-2873
-
-
Yang, J.1
Wright, J.2
Huang, T.S.3
Ma, Y.4
-
21
-
-
79953039636
-
Video super-resolution algorithm using bi-directional overlapped block motion compensation and onthe-fly dictionary training
-
Mar.
-
B. C. Song, S.-C. Jeong, and Y. Choi, " Video super-resolution algorithm using bi-directional overlapped block motion compensation and onthe-fly dictionary training, " IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 3, pp. 274-285, Mar. 2011.
-
(2011)
IEEE Trans. Circuits Syst. Video Technol.
, vol.21
, Issue.3
, pp. 274-285
-
-
Song, B.C.1
Jeong, S.-C.2
Choi, Y.3
-
22
-
-
84866658673
-
Bilevel sparse coding for coupled feature spaces
-
Jun.
-
J. Yang, Z. Wang, Z. Lin, X. Shu, and T. Huang, " Bilevel sparse coding for coupled feature spaces, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2012, pp. 2360-2367.
-
(2012)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 2360-2367
-
-
Yang, J.1
Wang, Z.2
Lin, Z.3
Shu, X.4
Huang, T.5
-
23
-
-
84864128043
-
Coupled dictionary training for image super-resolution
-
Aug.
-
J. Yang, Z. Wang, Z. Lin, S. Cohen, and T. Huang, " Coupled dictionary training for image super-resolution, " IEEE Trans. Image Process., vol. 21, no. 8, pp. 3467-3478, Aug. 2012.
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.8
, pp. 3467-3478
-
-
Yang, J.1
Wang, Z.2
Lin, Z.3
Cohen, S.4
Huang, T.5
-
24
-
-
84866652383
-
Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch syn thesis
-
Jun.
-
S. Wang, D. Zhang, Y. Liang, and Q. Pan, " Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2012, pp. 2216-2223.
-
(2012)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 2216-2223
-
-
Wang, S.1
Zhang, D.2
Liang, Y.3
Pan, Q.4
-
25
-
-
0041426523
-
A VQ-based blind image restoration algorithm
-
Sep.
-
R. Nakagaki and A. K. Katsaggelos, " A VQ-based blind image restoration algorithm, " IEEE Trans. Image Process., vol. 12, no. 9, pp. 1044-1053, Sep. 2003.
-
(2003)
IEEE Trans. Image Process.
, vol.12
, Issue.9
, pp. 1044-1053
-
-
Nakagaki, R.1
Katsaggelos, A.K.2
-
26
-
-
58049205423
-
Image sequence denoising via sparse and redundant representations
-
Jan.
-
M. Protter and M. Elad, " Image sequence denoising via sparse and redundant representations, " IEEE Trans. Image Process., vol. 18, no. 1, pp. 27-35, Jan. 2009.
-
(2009)
IEEE Trans. Image Process.
, vol.18
, Issue.1
, pp. 27-35
-
-
Protter, M.1
Elad, M.2
-
27
-
-
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
-
28
-
-
84945308407
-
Learning-based video superresolution reconstruction using spatiotemporal nonlocal similarity
-
Art. 687074
-
M. Liang, J. Du, and L. Li, " Learning-based video superresolution reconstruction using spatiotemporal nonlocal similarity, " Math. Problems Eng., vol. 2015, 2015, Art. no. 687074.
-
(2015)
Math. Problems Eng.
, vol.2015
-
-
Liang, M.1
Du, J.2
Li, L.3
-
29
-
-
80052902363
-
Zernike-moment-based image super resolution
-
Oct.
-
X. Gao, Q. Wang, X. Li, D. Tao, and K. Zhang, " Zernike-moment-based image super resolution, " IEEE Trans. Image Process., vol. 20, no. 10, pp. 2738-2747, Oct. 2011.
-
(2011)
IEEE Trans. Image Process.
, vol.20
, Issue.10
, pp. 2738-2747
-
-
Gao, X.1
Wang, Q.2
Li, X.3
Tao, D.4
Zhang, K.5
-
30
-
-
79959594311
-
Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization
-
Jul.
-
W. Dong, L. Zhang, G. Shi, and X. Wu, " Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization, " IEEE Trans. Image Process., vol. 20, no. 7, pp. 1838-1857, Jul. 2011.
-
(2011)
IEEE Trans. Image Process.
, vol.20
, Issue.7
, pp. 1838-1857
-
-
Dong, W.1
Zhang, L.2
Shi, G.3
Wu, X.4
-
31
-
-
84855655878
-
On single image scale-up using sparse-representations
-
R. Zeyde, M. Elad, and M. Protter, " On single image scale-up using sparse-representations, " in Proc. Int. Conf. Curves Surf., 2012, pp. 711-730.
-
(2012)
Proc. Int. Conf. Curves Surf.
, pp. 711-730
-
-
Zeyde, R.1
Elad, M.2
Protter, M.3
-
32
-
-
77955994663
-
Classification and clustering via dictionary learning with structured incoherence and shared features
-
Jun.
-
I. Ramirez, P. Sprechmann, and G. Sapiro, " Classification and clustering via dictionary learning with structured incoherence and shared features, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2010, pp. 3501-3508.
-
(2010)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 3501-3508
-
-
Ramirez, I.1
Sprechmann, P.2
Sapiro, G.3
-
33
-
-
0019597413
-
Determining optical flow
-
Aug.
-
B. K. P. Horn and B. G. Schunck, " Determining optical flow, " Artif. Intell., vol. 17, nos. 1-3, p. 185-203, Aug. 1981.
-
(1981)
Artif. Intell.
, vol.17
, Issue.1-3
, pp. 185-203
-
-
Horn, B.K.P.1
Schunck, B.G.2
-
34
-
-
79952183860
-
A database and evaluation methodology for optical flow
-
S. Baker, D. Scharstein, J. P. Lewis, S. Roth, M. J. Black, and R. Szeliski, " A database and evaluation methodology for optical flow, " Int. J. Comput. Vis., vol. 92, no. 1, pp. 1-31, 2011.
-
(2011)
Int. J. Comput. Vis.
, vol.92
, Issue.1
, pp. 1-31
-
-
Baker, S.1
Scharstein, D.2
Lewis, J.P.3
Roth, S.4
Black, M.J.5
Szeliski, R.6
-
35
-
-
77955989832
-
Secrets of optical flow estimation and their principles
-
Jun.
-
D. Sun, S. Roth, and M. J. Black, " Secrets of optical flow estimation and their principles, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2010, pp. 2432-2439.
-
(2010)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 2432-2439
-
-
Sun, D.1
Roth, S.2
Black, M.J.3
-
37
-
-
84898409537
-
Low-complexity single-image super-resolution based on nonnegative neighbor embedding
-
M. Bevilacqua, A. Roumy, C. Guillemot, and M. L. Alberi-Morel, " Low-complexity single-image super-resolution based on nonnegative neighbor embedding, " in Proc. 23rd Brit. Mach. Vis. Conf. (BMVC), 2012, pp. 135.1-135.10.
-
(2012)
Proc. 23rd Brit. Mach. Vis. Conf. (BMVC)
, pp. 1351-13510
-
-
Bevilacqua, M.1
Roumy, A.2
Guillemot, C.3
Alberi-Morel, M.L.4
-
38
-
-
5044219639
-
Super-resolution through neighbor embedding
-
Jun. I-I
-
H. Chang, D.-Y. Yeung, and Y. Xiong, " Super-resolution through neighbor embedding, " in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR), vol. 1. Jun. 2004, pp. I-I.
-
(2004)
Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR)
, vol.1
-
-
Chang, H.1
Yeung, D.-Y.2
Xiong, Y.3
-
39
-
-
84898792173
-
Anchored neighborhood regression for fast example-based super-resolution
-
Dec.
-
R. Timofte, V. De, and L. Van Gool, " Anchored neighborhood regression for fast example-based super-resolution, " in Proc. IEEE Int. Conf. Comput. Vis. (ICCV), Dec. 2013, pp. 1920-1927.
-
(2013)
Proc. IEEE Int. Conf. Comput. Vis. (ICCV)
, pp. 1920-1927
-
-
Timofte, R.1
De, V.2
Van Gool, L.3
-
40
-
-
84906484697
-
Learning a deep convolutional network for image super-resolution
-
C. Dong, C. C. Loy, K. He, and X. Tang, " Learning a deep convolutional network for image super-resolution, " in Proc. Eur. Conf. Comput. Vis., 2014, pp. 184-199.
-
(2014)
Proc. Eur. Conf. Comput. Vis.
, pp. 184-199
-
-
Dong, C.1
Loy, C.C.2
He, K.3
Tang, X.4
-
41
-
-
84956642276
-
-
Infognition [Online]. Available
-
Infognition. (2010). Video Enhancer. [Online]. Available: http://www.infognition.com/videoenhancer/
-
(2010)
Video Enhancer
-
-
-
42
-
-
84956677149
-
Dictionary-based multiple frame video super-resolution
-
Sep.
-
Q. Dai, S. Yoo, A. Kappeler, and A. K. Katsaggelos, " Dictionary-based multiple frame video super-resolution, " in Proc. IEEE Int. Conf. Image Process. (ICIP), Sep. 2015, pp. 83-87.
-
(2015)
Proc. IEEE Int. Conf. Image Process. (ICIP)
, pp. 83-87
-
-
Dai, Q.1
Yoo, S.2
Kappeler, A.3
Katsaggelos, A.K.4
-
43
-
-
36749099930
-
Regularized highresolution image reconstruction considering inaccurate motion information
-
Nov.
-
M. K. Park, A. K. Katsaggelos, and M. G. Kang, " Regularized highresolution image reconstruction considering inaccurate motion information, " Opt. Eng., vol. 46, no. 11, p. 117004, Nov. 2007.
-
(2007)
Opt. Eng.
, vol.46
, Issue.11
, pp. 117004
-
-
Park, M.K.1
Katsaggelos, A.K.2
Kang, M.G.3
-
45
-
-
84864036295
-
Efficient sparse coding algorithms
-
Dec.
-
H. Lee, A. Battle, R. Raina, and A. Y. Ng, " Efficient sparse coding algorithms, " in Proc. Adv. Neural Inf. Process. Syst., Dec. 2006, pp. 801-808.
-
(2006)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 801-808
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.Y.4
-
46
-
-
84956663103
-
-
H. Inc. (2014). Harmonic 4k Footage. [Online]. Available: http:// www.harmonicinc.com/resources/videos/4k-video-clip-center
-
(2014)
Harmonic 4k Footage
-
-
Inc, H.1
-
47
-
-
1942436689
-
Image quality assessment: From error visibility to structural similarity
-
Apr.
-
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, " Image quality assessment: From error visibility to structural similarity, " IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
-
(2004)
IEEE Trans. Image Process.
, vol.13
, Issue.4
, pp. 600-612
-
-
Wang, Z.1
Bovik, A.C.2
Sheikh, H.R.3
Simoncelli, E.P.4
-
48
-
-
80052896677
-
Sparsity-based image denoising via dictionary learning and structural clustering
-
Jun.
-
W. Dong, X. Li, L. Zhang, and G. Shi, " Sparsity-based image denoising via dictionary learning and structural clustering, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2011, pp. 457-464.
-
(2011)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 457-464
-
-
Dong, W.1
Li, X.2
Zhang, L.3
Shi, G.4
|