Fusion of images on affine sampling grids

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Volumn 15, Issue 4, 1998, Pages 791-801

  Granrath, Douglas ^a   Lersch, James ^a  

^a SCIENCE APPLICATIONS INTERNATIONAL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001416065     PISSN: 10847529     EISSN: 15208532     Source Type: Journal    
DOI: 10.1364/JOSAA.15.000791     Document Type: Article

References (20)

1. A. Papoulis, Signal Analysis (McGraw-Hill, New York, 1977), pp. 193–196.
2. R. Tsai and T. Huang, “Multiframe image restoration and registration,” in Advances in Computer Vision and Image Processing (JAI Press, London, 1984), Vol. 1, pp. 317–339.
3. S. P. Kim, N. K. Bose, and H. M. Valenzuela, “Recursive reconstruction of high resolution image from noisy undersampled multiframes,” IEEE Trans. Acoust. Speech Signal Process. 38, 1013–1027 (1990).
4. G. Jacquemod, “Image resolution enhancement using subpixel camera displacement,” Signal Process. 26, 39–146 (1992).
5. A. M. Tekalp, M. K. Ozkan, and M. I. Sezan, “Highresolution image reconstruction from lower-resolution image sequences and space-varying image restoration,” in Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing (Institute of Electrical and Electronics Engineers, New York, 1990), Vol. III, 169–172.
6. K. D. Sauer and J. P. Allebach, “Iterative reconstruction of band-limited images from nonuniformly spaced samples,” IEEE Trans. Circuits Syst. CAS-34, 1497–1506 (1987).
7. A. J. Patti, M I. Sezan, and A. M. Tekalp, “High-resolution image reconstruction from a low-resolution image sequence in the presence of time-varying motion blur,” presented at the International Conference on Image Processing, Austin, Texas, November 1994.
8. S. Yeh and H. Stark, “Iterative and one-step reconstruction from nonuniform samples by convex projections,” J. Opt. Soc. Am. A 7, 491–499 (1990).
9. P. Cheeseman, R. Kanefsky, R. Kraft, J. Stutz, and R. Hanson, “Super-resolved surface reconstruction from multiple images,” NASA Tech. Rep. FIA-94-12 (NASA, Washington, D.C., 1994).
10. J. L. Yen, “On nonuniform sampling of bandwidth-limited signals,” IRE Trans. Circuit Theory CT-3; 251–257; (1956).
11. D. S. Chen and J. P. Allebach, “Analysis of error in reconstruction of two-dimensional signals from irregularly spaced samples,” IEEE Trans. Acoust. Speech Signal Process. ASSP-35, 173–180 (1987).
12. L. G. Gubin, B. T. Polyak, and E. V. Raik, “The method of projections for finding the common point of convex sets,” USSR Comput. Math. Math. Phys. 7, 1–24 (1967).
13. D. H. Bailey and P. N. Swarztrauber, “The fractional Fourier transform and applications,” SIAM (Soc. Ind. Appl. Math.) Rev. 33, 389–404 (1991).
14. L. I. Bluestein, “A linear filtering approach to the computation of the discrete Fourier transform,” IEEE Trans. Audio Electroacoust. AE-18, 451–455 (1970).
15. D. I. Barnea and H. F. Silverman, “A class of algorithms for fast digital image registration,” IEEE Trans. Comput. IEEE Trans. Comput. C-21, 179–186 (1972).
16. W. K. Pratt, “Correlation techniques of image registration,” IEEE Trans. Aerosp. Electron. Syst. AES-10, 353–357 (1974).
17. E. DeCastro and C. Morandi, “Registration of translated and rotated images using finite Fourier transforms,” IEEE Trans. Pattern. Anal. Mach. Intell. PAMI-9, 700–703 (1987).
18. M. Irani and S. Peleg, “Improving resolution by image registration,” CVGIP: Graphic. Models Image Process. 53, 231–239 (1991).
19. B. S. Reddy and B. N. Chatterji, “An FFT-based technique for translation, rotation, and scale-invariant image registration,” IEEE Trans. Image Process. 5, 1266–1271 (1996).
20. A. V. Oppenheim and R. W. Schafer, Digital Signal Processing (Prentice-Hall, Englewood Cliffs, N.J., 1975), pp. 487–490.