Recursive Reconstruction of High Resolution Image From Noisy Undersampled Multiframes

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 38, Issue 6, 1990, Pages 1013-1027

  Kim, S P ^a   Bose, N K ^a   Valenzuela, H M ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SYSTEMS, DIGITAL--PARALLEL PROCESSING; MATHEMATICAL TECHNIQUES--LEAST SQUARES APPROXIMATIONS; SAMPLING;

MASSIVELY PARALLEL COMPUTATIONAL ARCHITECTURES; WEIGHTED RECURSIVE LEAST-SQUARES THEORY;

IMAGE PROCESSING;

EID: 0025449401     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/29.56062     Document Type: Article

References (8)

1. 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. Greenwich, CT: Jai Press, 1984, pp. 317–319.
2. M. Nieto-Vesperinas and J. C. Dainty, “Testing for uniqueness of phase recovery in two dimensions,” Opt. Commun., vol. 52, no. 2, pp. 94–98, Nov. 1984.
3. G. N. Saridis, Self-Organizing Control of Stochastic Systems. New York: Marcel Dekker, 1977, pp. 96–99.
4. R. C. Gonzalez and P. Wintz, Digital Image Processing. Reading, MA: Addison-Wesley, 1977, pp. 199–207.
5. H. M. Valenzuela and N. K. Bose, “Linear shift-variant multidimensional systems,” in Multidimensional Systems Theory: Progress. Directions, and Open Problems, N. K. Bose, Ed. D. Reidel, 1985, pp. 147–183.
6. H. M. Kim and N. K. Bose, “Approaches towards restoration of bilinearly degraded images,” IEEE Trans. Acoust., Speech. Signal Processing, vol. ASSP-35, no. 2, pp. 181–197, Feb. 1987.
7. D. C. Ghiglia, “Space-invariant deblurring given N independently blurred images of a common object,” J. Opt. Soc. Amer. A. vol. 1, no. 4, pp. 398–402, Apr. 1984.
8. W. P. Tang and G. H. Golub, “The block decomposition of a Van-dermonde matrix and its applications,” BIT, vol. 21, pp. 505–517, 1981.