Performance analysis of the TLS algorithm for image reconstruction from a sequence of undersampled noisy and blurred frames

Proceedings - International Conference on Image Processing, ICIP

Volumn 3, Issue , 1994, Pages 571-575

  Bose, N K ^a   Kim, H C ^a   Zhou, B ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; SEEBECK EFFECT;

COMPLEX-VALUED; DATA SAMPLE; HIGHER RESOLUTION IMAGES; PERFORMANCE ANALYSIS; REAL-VALUED DATA; TOTAL LEAST SQUARES; UNDER-SAMPLED; WAVE NUMBER DOMAIN;

IMAGE RECONSTRUCTION;

EID: 84999106950     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.1994.413741     Document Type: Conference Paper

References (7)

1. S. Peleg, D. Kelen, and Schweitzer, "Improving image resolution using subpixel motion," Pattern Recogition Letters, vol. 5, pp. 223-226, 1987.
2. A. M. Tekalp, M. K. Ozkan, and M. I. Sezan, "High-resolution image reconstruction from lower-resolution image sequences and space-varying image restoration," in Proc. of IEEE International conference on Acoustics, Speech and Signal Processing (ICASSP), vol. III, San Francisco, CA, pp. 169-172, 1992.
3. H. Ur and D. Gross, "Improved resolution from subpixel shifted pictures," CVGIP: Graphical Models and Image Processing, vol. 54, pp. 181-186, March 1992.
4. S. P. Kim, N. K. Bose, and H. M. Valenzuela, "Recursive reconstruction of high resolution image from noisy undersampled multiframes," IEEE Trans. on Acoustics, Speech, and Signal Processing, vol. 38, pp. 1013-1027, June 1990.
5. N. K. Bose, H. C. Kim, and H. M. Valenzuela, "Recursive implementation of total least squares algorithm for image reconstruction from noisy, undersampled multiframes," in Proc. of IEEE International conference on Acoustics, Speech and Signal Processing (ICASSP), vol. V, Minneapolis, MN, pp. 269-272, 1993.
6. H. C. Kim, High Resolution Image Reconstruction from Undersampled Multiframes. PhD thesis, The Pennsylvania State University, 1994.
7. S. V. Huffel and J. Vandewalle, The Total Least Squares Problem: Computational Aspects and Analysis. Philadelphia, PA: Society for Industrial and Applied Mathematics, 1991.