R. Dufour, E. Miller, and N. P. Galatsanos, "Template matching based object recognition with unknown geometry," IEEE Trans. Image Process. 11, 1385-1396 (2002).

[CrossRef]

R. Dufour, E. Miller, and N. P. Galatsanos, "Geometric parameter estimation with a multiscale template library," in Automatic Target Recognition X, F. A. Sadjadi, ed., Proc. SPIE 4050, 397-407 (2000).

[CrossRef]

E. Marom and H. Inbar, "New interpretations of Wiener filters for image recognition," J. Opt. Soc. Am. A 13, 1325-1330 (1996).

[CrossRef]

B. Javidi, F. Parchekani, and G. Zhang, "Minimum-mean-square error filters for detecting a noisy target in background noise," Appl. Opt. 35, 6964-6975 (1996).

[CrossRef]
[PubMed]

R. Swensson, "Unified measurement of observer performance and localizing target objects on images," Med. Phys. 23, 1709-1725 (1996).

[CrossRef]
[PubMed]

C. Chatwin, R. Wang, and R. Young, "Assessment of a Wiener filter synthetic discriminant function for optical correlation," Opt. Lasers Eng. 22, 33-51 (1995).

[CrossRef]

J. Ben-Arie and K. Rao, "Optimal template matching by non-orthogonal image expansion using restoration," Mach. Vision Appl. 7, 69-81 (1994).

[CrossRef]

R. E. Sequira, J. Gubner, and B. E. A. Saleh, "Image detection under low-level illumination," IEEE Trans. Image Process. 2, 18-26 (1993).

[CrossRef]

J. Ben-Arie and K. Rao, "A novel approach to template matching by non-orthogonal image expansion," IEEE Trans. Circuits Syst. Video Technol. 3, 71-84 (1993).

[CrossRef]

P. J. Green, "Bayesian reconstructions from emission tomography data using a modified EM algorithm," IEEE Trans. Med. Imaging 9, 84-93 (1990).

[CrossRef]
[PubMed]

G. M. Morris, "Scene matching using photon-limited images," J. Opt. Soc. Am. A 1, 482-488 (1984).

[CrossRef]

K. Lange and R. Carson, "EM reconstruction algorithms for emission and transmission tomography," J. Comput. Assist. Tomogr. 8, 306-316 (1984).

[PubMed]

S. Geman and D. Geman, "Stochastic distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell. 6, 721-741 (1984).

[CrossRef]

L. Shepp and Y. Vardi, "Maximum likelihood reconstruction for emission tomography," IEEE Trans. Med. Imaging 1, 113-122 (1982).

[CrossRef]
[PubMed]

A. Dempster, N. Laird, and D. Rubin, "Maximum-likelihood from incomplete data," J. R. Stat. Soc. Ser. B. Methodol. 39, 1-38 (1977).

A. Abu-Naser, N. P. Galatsanos, M. N. Wernick, and D. Schonfeld, "Object recognition based on impulse restoration with use of the expectation maximization algorithm," J. Opt. Soc. Am. A 15, 2327-2339 (1998).

[CrossRef]

A. Abu-Naser, "Object recognition based on impulse restoration for images in Gaussian noise," M.S. thesis (Illinois Institute of Technology, 1996).

A. Abu-Naser, N. P. Galatsanos, and M. N. Wernick, "ML and Bayesian impulse restoration based object recognition in photon limited noise," in Proceedings of the 2002 IEEE International Conference on Image Processing (IEEE Press, 2002), Vol. 2, pp. 837-840.

J. Ben-Arie and K. Rao, "Optimal template matching by non-orthogonal image expansion using restoration," Mach. Vision Appl. 7, 69-81 (1994).

[CrossRef]

J. Ben-Arie and K. Rao, "A novel approach to template matching by non-orthogonal image expansion," IEEE Trans. Circuits Syst. Video Technol. 3, 71-84 (1993).

[CrossRef]

K. Lange and R. Carson, "EM reconstruction algorithms for emission and transmission tomography," J. Comput. Assist. Tomogr. 8, 306-316 (1984).

[PubMed]

C. Chatwin, R. Wang, and R. Young, "Assessment of a Wiener filter synthetic discriminant function for optical correlation," Opt. Lasers Eng. 22, 33-51 (1995).

[CrossRef]

A. Dempster, N. Laird, and D. Rubin, "Maximum-likelihood from incomplete data," J. R. Stat. Soc. Ser. B. Methodol. 39, 1-38 (1977).

R. Dufour, E. Miller, and N. P. Galatsanos, "Template matching based object recognition with unknown geometry," IEEE Trans. Image Process. 11, 1385-1396 (2002).

[CrossRef]

R. Dufour, E. Miller, and N. P. Galatsanos, "Geometric parameter estimation with a multiscale template library," in Automatic Target Recognition X, F. A. Sadjadi, ed., Proc. SPIE 4050, 397-407 (2000).

[CrossRef]

R. Dufour, E. Miller, and N. P. Galatsanos, "Template matching based object recognition with unknown geometry," IEEE Trans. Image Process. 11, 1385-1396 (2002).

[CrossRef]

R. Dufour, E. Miller, and N. P. Galatsanos, "Geometric parameter estimation with a multiscale template library," in Automatic Target Recognition X, F. A. Sadjadi, ed., Proc. SPIE 4050, 397-407 (2000).

[CrossRef]

A. Abu-Naser, N. P. Galatsanos, M. N. Wernick, and D. Schonfeld, "Object recognition based on impulse restoration with use of the expectation maximization algorithm," J. Opt. Soc. Am. A 15, 2327-2339 (1998).

[CrossRef]

A. Abu-Naser, N. P. Galatsanos, and M. N. Wernick, "ML and Bayesian impulse restoration based object recognition in photon limited noise," in Proceedings of the 2002 IEEE International Conference on Image Processing (IEEE Press, 2002), Vol. 2, pp. 837-840.

S. Geman and D. Geman, "Stochastic distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell. 6, 721-741 (1984).

[CrossRef]

S. Geman and D. Geman, "Stochastic distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell. 6, 721-741 (1984).

[CrossRef]

P. J. Green, "Bayesian reconstructions from emission tomography data using a modified EM algorithm," IEEE Trans. Med. Imaging 9, 84-93 (1990).

[CrossRef]
[PubMed]

R. E. Sequira, J. Gubner, and B. E. A. Saleh, "Image detection under low-level illumination," IEEE Trans. Image Process. 2, 18-26 (1993).

[CrossRef]

A. K. Jain, Fundamentals of Digital Image Processing (Prentice Hall, 1989).

S. M. Kay, Fundamentals of Statistical Signal Processing: Detection Theory (Prentice Hall, 1998).

A. Dempster, N. Laird, and D. Rubin, "Maximum-likelihood from incomplete data," J. R. Stat. Soc. Ser. B. Methodol. 39, 1-38 (1977).

D. S. Lalush and M. N. Wernick, "Iterative image reconstruction," in Ref. , pp. 443-472.

K. Lange and R. Carson, "EM reconstruction algorithms for emission and transmission tomography," J. Comput. Assist. Tomogr. 8, 306-316 (1984).

[PubMed]

R. Dufour, E. Miller, and N. P. Galatsanos, "Template matching based object recognition with unknown geometry," IEEE Trans. Image Process. 11, 1385-1396 (2002).

[CrossRef]

R. Dufour, E. Miller, and N. P. Galatsanos, "Geometric parameter estimation with a multiscale template library," in Automatic Target Recognition X, F. A. Sadjadi, ed., Proc. SPIE 4050, 397-407 (2000).

[CrossRef]

J. Ben-Arie and K. Rao, "Optimal template matching by non-orthogonal image expansion using restoration," Mach. Vision Appl. 7, 69-81 (1994).

[CrossRef]

J. Ben-Arie and K. Rao, "A novel approach to template matching by non-orthogonal image expansion," IEEE Trans. Circuits Syst. Video Technol. 3, 71-84 (1993).

[CrossRef]

A. Dempster, N. Laird, and D. Rubin, "Maximum-likelihood from incomplete data," J. R. Stat. Soc. Ser. B. Methodol. 39, 1-38 (1977).

R. E. Sequira, J. Gubner, and B. E. A. Saleh, "Image detection under low-level illumination," IEEE Trans. Image Process. 2, 18-26 (1993).

[CrossRef]

B. E. A. Saleh and M. C. Teich, Fundamentals of Photonics (Wiley, 1991).

[CrossRef]

R. E. Sequira, J. Gubner, and B. E. A. Saleh, "Image detection under low-level illumination," IEEE Trans. Image Process. 2, 18-26 (1993).

[CrossRef]

L. Shepp and Y. Vardi, "Maximum likelihood reconstruction for emission tomography," IEEE Trans. Med. Imaging 1, 113-122 (1982).

[CrossRef]
[PubMed]

R. Swensson, "Unified measurement of observer performance and localizing target objects on images," Med. Phys. 23, 1709-1725 (1996).

[CrossRef]
[PubMed]

B. E. A. Saleh and M. C. Teich, Fundamentals of Photonics (Wiley, 1991).

[CrossRef]

L. Shepp and Y. Vardi, "Maximum likelihood reconstruction for emission tomography," IEEE Trans. Med. Imaging 1, 113-122 (1982).

[CrossRef]
[PubMed]

C. Chatwin, R. Wang, and R. Young, "Assessment of a Wiener filter synthetic discriminant function for optical correlation," Opt. Lasers Eng. 22, 33-51 (1995).

[CrossRef]

A. Abu-Naser, N. P. Galatsanos, M. N. Wernick, and D. Schonfeld, "Object recognition based on impulse restoration with use of the expectation maximization algorithm," J. Opt. Soc. Am. A 15, 2327-2339 (1998).

[CrossRef]

M. N. Wernick and G. M. Morris, "Image classification at low light levels," J. Opt. Soc. Am. A 3, 2179-2187 (1986).

[CrossRef]

D. S. Lalush and M. N. Wernick, "Iterative image reconstruction," in Ref. , pp. 443-472.

A. Abu-Naser, N. P. Galatsanos, and M. N. Wernick, "ML and Bayesian impulse restoration based object recognition in photon limited noise," in Proceedings of the 2002 IEEE International Conference on Image Processing (IEEE Press, 2002), Vol. 2, pp. 837-840.

C. Chatwin, R. Wang, and R. Young, "Assessment of a Wiener filter synthetic discriminant function for optical correlation," Opt. Lasers Eng. 22, 33-51 (1995).

[CrossRef]

J. Ben-Arie and K. Rao, "A novel approach to template matching by non-orthogonal image expansion," IEEE Trans. Circuits Syst. Video Technol. 3, 71-84 (1993).

[CrossRef]

R. E. Sequira, J. Gubner, and B. E. A. Saleh, "Image detection under low-level illumination," IEEE Trans. Image Process. 2, 18-26 (1993).

[CrossRef]

R. Dufour, E. Miller, and N. P. Galatsanos, "Template matching based object recognition with unknown geometry," IEEE Trans. Image Process. 11, 1385-1396 (2002).

[CrossRef]

P. J. Green, "Bayesian reconstructions from emission tomography data using a modified EM algorithm," IEEE Trans. Med. Imaging 9, 84-93 (1990).

[CrossRef]
[PubMed]

L. Shepp and Y. Vardi, "Maximum likelihood reconstruction for emission tomography," IEEE Trans. Med. Imaging 1, 113-122 (1982).

[CrossRef]
[PubMed]

S. Geman and D. Geman, "Stochastic distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell. 6, 721-741 (1984).

[CrossRef]

K. Lange and R. Carson, "EM reconstruction algorithms for emission and transmission tomography," J. Comput. Assist. Tomogr. 8, 306-316 (1984).

[PubMed]

G. M. Morris, "Scene matching using photon-limited images," J. Opt. Soc. Am. A 1, 482-488 (1984).

[CrossRef]

A. Abu-Naser, N. P. Galatsanos, M. N. Wernick, and D. Schonfeld, "Object recognition based on impulse restoration with use of the expectation maximization algorithm," J. Opt. Soc. Am. A 15, 2327-2339 (1998).

[CrossRef]

M. N. Wernick and G. M. Morris, "Image classification at low light levels," J. Opt. Soc. Am. A 3, 2179-2187 (1986).

[CrossRef]

E. Marom and H. Inbar, "New interpretations of Wiener filters for image recognition," J. Opt. Soc. Am. A 13, 1325-1330 (1996).

[CrossRef]

A. Dempster, N. Laird, and D. Rubin, "Maximum-likelihood from incomplete data," J. R. Stat. Soc. Ser. B. Methodol. 39, 1-38 (1977).

J. Ben-Arie and K. Rao, "Optimal template matching by non-orthogonal image expansion using restoration," Mach. Vision Appl. 7, 69-81 (1994).

[CrossRef]

R. Swensson, "Unified measurement of observer performance and localizing target objects on images," Med. Phys. 23, 1709-1725 (1996).

[CrossRef]
[PubMed]

C. Chatwin, R. Wang, and R. Young, "Assessment of a Wiener filter synthetic discriminant function for optical correlation," Opt. Lasers Eng. 22, 33-51 (1995).

[CrossRef]

R. Dufour, E. Miller, and N. P. Galatsanos, "Geometric parameter estimation with a multiscale template library," in Automatic Target Recognition X, F. A. Sadjadi, ed., Proc. SPIE 4050, 397-407 (2000).

[CrossRef]

A. Abu-Naser, N. P. Galatsanos, and M. N. Wernick, "ML and Bayesian impulse restoration based object recognition in photon limited noise," in Proceedings of the 2002 IEEE International Conference on Image Processing (IEEE Press, 2002), Vol. 2, pp. 837-840.

M.N.Wernick and J.N.Aarsvold, eds., Emission Tomography: The Fundamentals of PET and SPECT (Academic, 2004).

S. M. Kay, Fundamentals of Statistical Signal Processing: Detection Theory (Prentice Hall, 1998).

A. K. Jain, Fundamentals of Digital Image Processing (Prentice Hall, 1989).

B. E. A. Saleh and M. C. Teich, Fundamentals of Photonics (Wiley, 1991).

[CrossRef]

A. Abu-Naser, "Object recognition based on impulse restoration for images in Gaussian noise," M.S. thesis (Illinois Institute of Technology, 1996).

D. S. Lalush and M. N. Wernick, "Iterative image reconstruction," in Ref. , pp. 443-472.