-
1
-
-
4544374765
-
Fast and robust multiframe super resolution
-
Oct.
-
S. Farsiu, 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, D.2
Elad, M.3
Milanfar, P.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. E. 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.E.3
-
3
-
-
36348960300
-
A nonlinear least square technique for simultaneous image registration and super-resolution
-
Nov.
-
Y. He, K.-h. Yap, L. Chen, and L.-p. Chau, “A nonlinear least square technique for simultaneous image registration and super-resolution,” IEEE Trans. Image Process., vol. 16, no. 11, pp. 2830–2841, Nov. 2007.
-
(2007)
IEEE Trans. Image Process.
, vol.16
, Issue.11
, pp. 2830-2841
-
-
He, Y.1
Yap, K.-h.2
Chen, L.3
Chau, L.-p.4
-
4
-
-
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. 2, pp. 21–36, May 2003.
-
(2003)
IEEE Signal Process. Mag.
, vol.20
, Issue.2
, pp. 21-36
-
-
Park, S.C.1
Park, M.K.2
Kang, M.G.3
-
5
-
-
4544296204
-
Advances and challenges in super-resolution
-
Aug.
-
S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, “Advances and challenges in super-resolution,” Int. J. Imaging Syst. Technol., vol. 14, pp. 47”57, Aug. 2004.
-
(2004)
Int. J. Imaging Syst. Technol.
, vol.14
, pp. 47-57
-
-
Farsiu, S.1
Robinson, D.2
Elad, M.3
Milanfar, P.4
-
6
-
-
0042665415
-
Regularized adaptive high-resolution image reconstruction considering inaccurate subpixel registration
-
Jul.
-
E. S. Lee and M. G. Kang, “Regularized adaptive high-resolution image reconstruction considering inaccurate subpixel registration,” IEEE Trans. Image Process., vol. 12, no. 7, pp. 826–837, Jul. 2003.
-
(2003)
IEEE Trans. Image Process.
, vol.12
, Issue.7
, pp. 826-837
-
-
Lee, E.S.1
Kang, M.G.2
-
7
-
-
30344479179
-
Stochastic methods for joint registration, restoration, and interpolation of multiple undersampled images
-
Jan.
-
N. A. Woods, N. P. Galatsanos, and A. K. Katsaggelos, “Stochastic methods for joint registration, restoration, and interpolation of multiple undersampled images,” IEEE Trans. Image Process., vol. 15, no. 1, pp. 201–213, Jan. 2006.
-
(2006)
IEEE Trans. Image Process.
, vol.15
, Issue.1
, pp. 201-213
-
-
Woods, N.A.1
Galatsanos, N.P.2
Katsaggelos, A.K.3
-
8
-
-
48149099795
-
Optimal registration of aliased images using variable projection with applications to super-resolution
-
Apr.
-
D. Robinson, S. Farsiu, and P. Milanfar, “Optimal registration of aliased images using variable projection with applications to super-resolution,” Comput. J., Apr. 2007.
-
(2007)
Comput. J.
-
-
Robinson, D.1
Farsiu, S.2
Milanfar, P.3
-
9
-
-
33746279343
-
Numerical methods for coupled superresolution
-
J. Chung, E. Haber, and J. Nagy, “Numerical methods for coupled superresolution,” Inverse Problems, vol. 22, pp. 1261–1272, 2006.
-
(2006)
Inverse Problems
, vol.22
, pp. 1261-1272
-
-
Chung, J.1
Haber, E.2
Nagy, J.3
-
10
-
-
58149144703
-
Generalizing the nonlocal-means to super-resolution reconstruction
-
Jan.
-
M. Protter, M. Elad, H. Takeda, and P. Milanfar, “Generalizing the nonlocal-means to super-resolution reconstruction,” IEEE Trans. Image Process., vol. 18, no. 1, pp. 36–51, Jan. 2009.
-
(2009)
IEEE Trans. Image Process.
, vol.18
, Issue.1
, pp. 36-51
-
-
Protter, M.1
Elad, M.2
Takeda, H.3
Milanfar, P.4
-
11
-
-
0032217341
-
Structured total least norm for nonlinear problems
-
Jan.
-
J. B. Rosen, H. Park, and J. Glick, “Structured total least norm for nonlinear problems,” SIAM J. Matrix Anal. and Applic., vol. 20, pp. 14–30, Jan. 1999.
-
(1999)
SIAM J. Matrix Anal. and Applic.
, vol.20
, pp. 14-30
-
-
Rosen, J.B.1
Park, H.2
Glick, J.3
-
12
-
-
33645136204
-
A frequency domain approach to registration of aliased images with application to super-resolution
-
P. Vandewalle, S. Susstrunk, and A. Vetterli, “A frequency domain approach to registration of aliased images with application to super-resolution,” EURASIP J. Appl. Signal Process., 2006.
-
(2006)
EURASIP J. Appl. Signal Process.
-
-
Vandewalle, P.1
Susstrunk, S.2
Vetterli, A.3
-
13
-
-
33751208047
-
Efficient minimization methods of mixed l2-l1 and l1-l1 norms for image restoration
-
H. Fu, M. K. Ng, M. Nikolova, and J. L. Barlow, “Efficient minimization methods of mixed l2-l1 and l1-l1 norms for image restoration,” SIAM J. Sci. Comput., vol. 27, pp. 1881–1902, 2006.
-
(2006)
SIAM J. Sci. Comput.
, vol.27
, pp. 1881-1902
-
-
Fu, H.1
Ng, M.K.2
Nikolova, M.3
Barlow, J.L.4
-
14
-
-
0004067316
-
Solving Large-Scale Linear Programs by Interior-Point Methods Under the MATLAB Environment Dept. Math. Statist.
-
Univ. Maryland-Baltimore County, Baltimore, Tech. Rep. TR96-01
-
Y. Zhang, Solving Large-Scale Linear Programs by Interior-Point Methods Under the MATLAB Environment Dept. Math. Statist., Univ. Maryland-Baltimore County, Baltimore, 1995, Tech. Rep. TR96-01.
-
(1995)
-
-
Zhang, Y.1
|