A. Bouhamidi and K. Jbilou, “Sylvester Tikhonov-regularization methods in image restoration,” J. Comput. Appl. Math. 206, 86–98 (2007).

[CrossRef]

R. M. Gray, “Toeplitz and circulant matrices: a review,” Found. Trends Commun. Inf. Theory 2, 155–239 (2005).

[CrossRef]

H. Lev-Ari, “Efficient solution of linear matrix equations with application to multistatic antenna array processing,” Commun. Inf. Syst. 5, 123–130 (2005).

Z. Zalevsky, J. Solomon, and D. Mendlovic, “Geometrical super resolution using code division multiplexing,” Appl. Opt. 42, 32–40 (2005).

F. W. Wheeler, R. T. Hoctor, and E. B. Barrett, “Super-resolution image synthesis using projections onto convex sets in the frequency domain,” Proc. SPIE , 5674, 479–490 (2005).

[CrossRef]

Z. Zalevsky, N. Shamir, and D. Mendlovic, “Geometrical super-resolution in infra-red sensor: experimental verification,” Opt. Eng. 43, 1401–1406 (2004).

[CrossRef]

Z. Zalevsky, D. Mendlovic, and E. Marom, “Special sensor masking for exceeding system geometrical resolving power,” Opt. Eng. 39, 1936–1942 (2000).

[CrossRef]

C. F. Van Loan, “The ubiquitous Kronecker product,” J. Comp. Appl. Math. 123, 85–100 (2000).

[CrossRef]

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. 6, 1621–1633 (1997).

[CrossRef]
[PubMed]

B. C. Tom and A. K. Katsaggelos, “Reconstruction of a high-resolution image from multiple-degraded misregistered low-resolution images,” Proc. SPIE 2308, 971–981 (1994).

[CrossRef]

M. Irani and S. Peleg, “Motion analysis for image enhancement: resolution, occlusion, and transparency,” J. Visual Commun. Image Represent 4, 324–335 (1993).

[CrossRef]

K. A. Nugent and B. Luther-Davies, “Penumbral imaging of high energy x-rays from laser-produced plasmas,” Opt. Commun. 49, 393–396 (1984).

[CrossRef]

G. H. Golub, M. Heath, and G. Wahba, “Generalized cross-validation as a method for choosing a good ridge parameter,” Technometrics 21, 215–223 (1979).

[CrossRef]

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. 6, 1621–1633 (1997).

[CrossRef]
[PubMed]

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. 6, 1621–1633 (1997).

[CrossRef]
[PubMed]

F. W. Wheeler, R. T. Hoctor, and E. B. Barrett, “Super-resolution image synthesis using projections onto convex sets in the frequency domain,” Proc. SPIE , 5674, 479–490 (2005).

[CrossRef]

A. Bouhamidi and K. Jbilou, “Sylvester Tikhonov-regularization methods in image restoration,” J. Comput. Appl. Math. 206, 86–98 (2007).

[CrossRef]

P. Cheeseman, B. Kanefsky, R. Kraft, J. Stutz, and R. Hanson, “Super-resolved surface reconstruction from multiple images,” in Maximum Entropy and Bayesian Methods, G.R.Heidbreder, ed. (Kluwer, 1996), pp. 293–308.

G. H. Golub, M. Heath, and G. Wahba, “Generalized cross-validation as a method for choosing a good ridge parameter,” Technometrics 21, 215–223 (1979).

[CrossRef]

G. H. Golub and U. von Matt, “Generalized cross-validation for large scale problems,” in Proceedings of the Second International Workshop on Recent Advances in Total Least Squares Techniques and Errors-in-Variables Modeling, S.Van Huffel, ed. (Society for Industrial and Applied Mathematics, 1997), pp. 139–148.

G. H. Golub and C. F. Van Loan, Matrix Computations, 3rd ed. (Johns Hopkins, 1996), pp. 257–258.

R. M. Gray, “Toeplitz and circulant matrices: a review,” Found. Trends Commun. Inf. Theory 2, 155–239 (2005).

[CrossRef]

P. Cheeseman, B. Kanefsky, R. Kraft, J. Stutz, and R. Hanson, “Super-resolved surface reconstruction from multiple images,” in Maximum Entropy and Bayesian Methods, G.R.Heidbreder, ed. (Kluwer, 1996), pp. 293–308.

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. 6, 1621–1633 (1997).

[CrossRef]
[PubMed]

G. H. Golub, M. Heath, and G. Wahba, “Generalized cross-validation as a method for choosing a good ridge parameter,” Technometrics 21, 215–223 (1979).

[CrossRef]

F. W. Wheeler, R. T. Hoctor, and E. B. Barrett, “Super-resolution image synthesis using projections onto convex sets in the frequency domain,” Proc. SPIE , 5674, 479–490 (2005).

[CrossRef]

M. Irani and S. Peleg, “Motion analysis for image enhancement: resolution, occlusion, and transparency,” J. Visual Commun. Image Represent 4, 324–335 (1993).

[CrossRef]

A. Bouhamidi and K. Jbilou, “Sylvester Tikhonov-regularization methods in image restoration,” J. Comput. Appl. Math. 206, 86–98 (2007).

[CrossRef]

P. Cheeseman, B. Kanefsky, R. Kraft, J. Stutz, and R. Hanson, “Super-resolved surface reconstruction from multiple images,” in Maximum Entropy and Bayesian Methods, G.R.Heidbreder, ed. (Kluwer, 1996), pp. 293–308.

B. C. Tom and A. K. Katsaggelos, “Reconstruction of a high-resolution image from multiple-degraded misregistered low-resolution images,” Proc. SPIE 2308, 971–981 (1994).

[CrossRef]

P. Cheeseman, B. Kanefsky, R. Kraft, J. Stutz, and R. Hanson, “Super-resolved surface reconstruction from multiple images,” in Maximum Entropy and Bayesian Methods, G.R.Heidbreder, ed. (Kluwer, 1996), pp. 293–308.

H. Lev-Ari, “Efficient solution of linear matrix equations with application to multistatic antenna array processing,” Commun. Inf. Syst. 5, 123–130 (2005).

K. A. Nugent and B. Luther-Davies, “Penumbral imaging of high energy x-rays from laser-produced plasmas,” Opt. Commun. 49, 393–396 (1984).

[CrossRef]

Z. Zalevsky, D. Mendlovic, and E. Marom, “Special sensor masking for exceeding system geometrical resolving power,” Opt. Eng. 39, 1936–1942 (2000).

[CrossRef]

Z. Zalevsky, J. Solomon, and D. Mendlovic, “Geometrical super resolution using code division multiplexing,” Appl. Opt. 42, 32–40 (2005).

Z. Zalevsky, N. Shamir, and D. Mendlovic, “Geometrical super-resolution in infra-red sensor: experimental verification,” Opt. Eng. 43, 1401–1406 (2004).

[CrossRef]

Z. Zalevsky, D. Mendlovic, and E. Marom, “Special sensor masking for exceeding system geometrical resolving power,” Opt. Eng. 39, 1936–1942 (2000).

[CrossRef]

M. Irani and S. Peleg, “Motion analysis for image enhancement: resolution, occlusion, and transparency,” J. Visual Commun. Image Represent 4, 324–335 (1993).

[CrossRef]

Z. Zalevsky, N. Shamir, and D. Mendlovic, “Geometrical super-resolution in infra-red sensor: experimental verification,” Opt. Eng. 43, 1401–1406 (2004).

[CrossRef]

Z. Zalevsky, J. Solomon, and D. Mendlovic, “Geometrical super resolution using code division multiplexing,” Appl. Opt. 42, 32–40 (2005).

P. Cheeseman, B. Kanefsky, R. Kraft, J. Stutz, and R. Hanson, “Super-resolved surface reconstruction from multiple images,” in Maximum Entropy and Bayesian Methods, G.R.Heidbreder, ed. (Kluwer, 1996), pp. 293–308.

B. C. Tom and A. K. Katsaggelos, “Reconstruction of a high-resolution image from multiple-degraded misregistered low-resolution images,” Proc. SPIE 2308, 971–981 (1994).

[CrossRef]

C. F. Van Loan, “The ubiquitous Kronecker product,” J. Comp. Appl. Math. 123, 85–100 (2000).

[CrossRef]

G. H. Golub and C. F. Van Loan, Matrix Computations, 3rd ed. (Johns Hopkins, 1996), pp. 257–258.

G. H. Golub and U. von Matt, “Generalized cross-validation for large scale problems,” in Proceedings of the Second International Workshop on Recent Advances in Total Least Squares Techniques and Errors-in-Variables Modeling, S.Van Huffel, ed. (Society for Industrial and Applied Mathematics, 1997), pp. 139–148.

G. H. Golub, M. Heath, and G. Wahba, “Generalized cross-validation as a method for choosing a good ridge parameter,” Technometrics 21, 215–223 (1979).

[CrossRef]

F. W. Wheeler, R. T. Hoctor, and E. B. Barrett, “Super-resolution image synthesis using projections onto convex sets in the frequency domain,” Proc. SPIE , 5674, 479–490 (2005).

[CrossRef]

A. Borkowski, Z. Zalevsky, and B. Javidi, “Geometrical super resolved imaging using non periodic spatial masking,” J. Opt. Soc. Am. A 26, 589–601 (2009).

[CrossRef]

Z. Zalevsky, J. Solomon, and D. Mendlovic, “Geometrical super resolution using code division multiplexing,” Appl. Opt. 42, 32–40 (2005).

Z. Zalevsky, N. Shamir, and D. Mendlovic, “Geometrical super-resolution in infra-red sensor: experimental verification,” Opt. Eng. 43, 1401–1406 (2004).

[CrossRef]

Z. Zalevsky, D. Mendlovic, and E. Marom, “Special sensor masking for exceeding system geometrical resolving power,” Opt. Eng. 39, 1936–1942 (2000).

[CrossRef]

M. Sohail and A. A. Mudassar, “Geometric superresolution by using an optical mask,” Appl. Opt. 49, 3000–3005 (2010).

[CrossRef]
[PubMed]

K. A. Nugent, “Coded aperture imaging: a Fourier space analysis,” Appl. Opt. 26, 563–569 (1987).

[CrossRef]
[PubMed]

Z. Zalevsky, J. Solomon, and D. Mendlovic, “Geometrical super resolution using code division multiplexing,” Appl. Opt. 42, 32–40 (2005).

H. Lev-Ari, “Efficient solution of linear matrix equations with application to multistatic antenna array processing,” Commun. Inf. Syst. 5, 123–130 (2005).

R. M. Gray, “Toeplitz and circulant matrices: a review,” Found. Trends Commun. Inf. Theory 2, 155–239 (2005).

[CrossRef]

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. 6, 1621–1633 (1997).

[CrossRef]
[PubMed]

C. F. Van Loan, “The ubiquitous Kronecker product,” J. Comp. Appl. Math. 123, 85–100 (2000).

[CrossRef]

A. Bouhamidi and K. Jbilou, “Sylvester Tikhonov-regularization methods in image restoration,” J. Comput. Appl. Math. 206, 86–98 (2007).

[CrossRef]

M. Irani and S. Peleg, “Motion analysis for image enhancement: resolution, occlusion, and transparency,” J. Visual Commun. Image Represent 4, 324–335 (1993).

[CrossRef]

K. A. Nugent and B. Luther-Davies, “Penumbral imaging of high energy x-rays from laser-produced plasmas,” Opt. Commun. 49, 393–396 (1984).

[CrossRef]

Z. Zalevsky, D. Mendlovic, and E. Marom, “Special sensor masking for exceeding system geometrical resolving power,” Opt. Eng. 39, 1936–1942 (2000).

[CrossRef]

Z. Zalevsky, N. Shamir, and D. Mendlovic, “Geometrical super-resolution in infra-red sensor: experimental verification,” Opt. Eng. 43, 1401–1406 (2004).

[CrossRef]

F. W. Wheeler, R. T. Hoctor, and E. B. Barrett, “Super-resolution image synthesis using projections onto convex sets in the frequency domain,” Proc. SPIE , 5674, 479–490 (2005).

[CrossRef]

B. C. Tom and A. K. Katsaggelos, “Reconstruction of a high-resolution image from multiple-degraded misregistered low-resolution images,” Proc. SPIE 2308, 971–981 (1994).

[CrossRef]

G. H. Golub, M. Heath, and G. Wahba, “Generalized cross-validation as a method for choosing a good ridge parameter,” Technometrics 21, 215–223 (1979).

[CrossRef]

G. H. Golub and U. von Matt, “Generalized cross-validation for large scale problems,” in Proceedings of the Second International Workshop on Recent Advances in Total Least Squares Techniques and Errors-in-Variables Modeling, S.Van Huffel, ed. (Society for Industrial and Applied Mathematics, 1997), pp. 139–148.

P. Cheeseman, B. Kanefsky, R. Kraft, J. Stutz, and R. Hanson, “Super-resolved surface reconstruction from multiple images,” in Maximum Entropy and Bayesian Methods, G.R.Heidbreder, ed. (Kluwer, 1996), pp. 293–308.

G. H. Golub and C. F. Van Loan, Matrix Computations, 3rd ed. (Johns Hopkins, 1996), pp. 257–258.