High-resolution image reconstruction with multisensors

International Journal of Imaging Systems and Technology

Volumn 9, Issue 4, 1998, Pages 294-304

  Bose, N K ^a   Boo, K J ^a  

^a The Center for Nanotechnology Education and Utilization   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FOURIER TRANSFORMS; IMAGE SENSORS; MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA;

HIGH RESOLUTION IMAGE RECONSTRUCTION; STATIONARY MARKOV-GAUSSIAN RANDOM FIELD; TWO DIMENSIONAL DISCRETE FOURIER TRANSFORM;

IMAGE RECONSTRUCTION;

EID: 0031628334     PISSN: 08999457     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1098-1098(1998)9:4<294::AID-IMA11>3.0.CO;2-X     Document Type: Article

References (34)

1. N. K. Bose, H. C. Kim, and H. M. Valenzuela. "Recursive total least squares algorithm for image reconstruction from noisy, undersampled frames," Multidimensional Syst. Signal Process, 4, 253-268 (1993).
2. S. P. Kim, N. K. Böse, and H. M. Valenzuela. "Recursive reconstruction of high resolution image from noisy undersampled multiframes," IEEE Trans. Acoust. Speech Signal Process. 38, 1013-1027 (1990).
3. A. M. Tekalp, M. K. Özkan, and M. I. Sezan, "High-resolution image reconstruction from low-resolution image sequences and space-varying image restoration," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. III, San Francisco, CA, March 1992, pp. 169-172.
4. R. Y., Tsai and T. S. Huang, "Multiframe image restoration and registration," in Advances in Computer Vision and Image Processing, Vol. 1. T. S. Huang, Ed., Jai Press, Greenwich, CT, 1984, pp. 317-339.
5. R. R. Schultz and R. L. Stevenson. "Extraction of high resolution frames from video sequences," IEEE Trans. Image Process. 5, 996-1011 (1996).
6. B. C. Tom, A. K. Katsaggelos, and N. P. Galatsanos, "Reconstruction of a high resolution image from registration and restoration of low resolution images," in Proceedings of the IEEE International Conference on Image Processing, Vol. 3, Austin, TX, 1994, pp. 553-557.
7. B. C. Tom, K. T. Lay, and A. K. Katsaggelos. "Multichannel image identification and restoration using the expectation-maximization algorithm," Opt. Eng. 35, 241-254 (1996).
8. N. E. Hurt, "Multi-image signal processing-restoring image resolution: A review," Technical report, Zeta Associates, Inc., 10300 Eaton Place Suite 500, Fairfax, VA 22030, October 1995.
9. K. Aizawa, T. Komatsu, and T. Saito, "Acquisition of very high resolution images using stereo cameras," in Proceedings of the SPIE Visual Communications and Image Processing Conference, Vol. 1605, Boston, MA, November 1991, pp. 318-328.
10. G. Jacquemod, C. Odet, and R. Goutte. "Image resolution enhancement using subpixel camera displacement," Signal Process. 26, 139-146 (1992).
11. H. C. Andrews and B. R. Hunt, Digital Image Restoration (Prentice-Hall, Englewood Cliffs, NJ), 1977.
12. R. C. Gonzalez and R. E. Woods, Digital Image Processing (Addison-Wesley, Reading, MA), 1992.
13. R. H. Chan and X. Jin. "A family of block preconditioned for block systems," SIAM J. Sci Stat. Comput. 13, 1218-1235 (1992).
14. R. H. Chan, J. G. Nagy, and R. J. Plemmons. "FFT-based preconditioned for Toeplitz-block least squares problems," SIAM J. Numer. Anal, 30, 1740-1768 (1993).
15. B. Grob, Basic Television and Video Systems (McGraw-Hill, New York), 1984.
16. R. R. Schultz and R. L. Stevenson. "A Bayesian approach to image expansion for improved definition," IEEE Trans. Image Process. 3, 233-242 (1994).
17. K. J. Boo and N. K. Böse. "Two-dimensional model-based power spectrum estimation for nonextendible correlation bisequences," Circuits Systems Signal Process. 16, 141-163 (1997).
18. G. H. Golub and C. F. V. Loan, Matrix Computation (Johns Hopkins University Press, Baltimore, MD), 1989.
19. B. R. Hunt. "The application of constrained least squares estimation to image restoration by digital computer," IEEE Trans. Comput. C-22, 805-812 (1973).
20. J. S. Lim and A. V. Oppenheim, Advanced Topics in Signal Processing (Prentice Hall, Englewood Cliffs, NJ), 1988.
21. J. G. Proakis, C. M. Rader, F. Ling, and C. L. Nikias, Advanced Digital Signal Processing (Macmillan, New York), 1992.
22. C. W. Therrien, Discrete Random Signals and Statistical Signal Processing (Prentice-Hall, Englewood Cliffs, NJ), 1992.
23. G. S. Ammar and W. B. Gragg. "Superfast solution of real positive definite Toeplitz systems," SIAM J. Matrix Anal. Appl. 9, 61-76 (1988).
24. J. H. Justice. "A Levinson-type algorithm for two-dimensional Wiener filtering using bivariate Szegö polynomials," Proc. IEEE 65, 882-886 (1977).
25. T. F. Chan. "An optimal circulant preconditioner for Toeplitz systems," SIAM J. Sci Stat. Comput. 9, 766-771 (1988).
26. T. Huckle, "Circulant/skewcirculant matrices as preconditioners for Hermitian Toeplitz systems," in Iterative Methods in Linear Algebra. R. Beauwens and P. de Greon, Eds., Elsevier Science Publishers B.V., North-Holland, 1992, pp. 563-574.
27. T. K. Ku and C.-C. J. Kuo. "Design and analysis of Toeplitz preconditioners," IEEE Trans. Signal Process. 40, 129-141 (1992).
28. G. Strang. "A proposal for Toeplitz matrix calculations," Stud. Appl. Math. 74, 171-176 (1986).
29. R. H. Chan, J. G. Nagy, and R. J. Plemmons. "Circulant preconditioned Toeplitz least squares iterations," SIAM J. Matrix Anal. Appl. 15, 80-97 (1994).
30. T. Ku and C. J. Kuo, "Preconditioned iterative methods for block Toeplitz systems," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, 1991, pp. 2341-2344.
31. T. Ku and C. J. Kuo. "On the spectrum of a family of preconditioned block Toeplitz matrices," SIAM J. Sci., Stat. Comput. 13, 948-966 (1992).
32. H. C. Lee. "Review of image-blur models in a photographic system using the principles of optics," Opt. Eng. 29, 405-421 (1990).
33. P. A. P. Moran. "Necessary conditions for Markovian processes on a lattice," J. Appl. Prob. 10, 605-612 (1973).
34. S. Lakshmanan and H. Derin. "Valid parameter space for 2-D Gaussian Markov random fields," IEEE Trans. Inform. Theory 39, 703-709 (1993).