Regularized high-resolution image reconstruction considering inaccurate motion information

Optical Engineering

Volumn 46, Issue 11, 2007, Pages

  Park, Min Kyu ^a   Kang, Moon Gi ^a   Katsaggelos, Aggelos K ^b  

^a Yonsei University   (South Korea)

^b Northwestern University   (United States)

Author keywords

Deconvolution; High resolution image reconstruction; Inaccurate motion; Multichannel regularization; Multichannel restoration; Super resolution

Indexed keywords

ALGORITHMS; DECONVOLUTION; INFORMATION ANALYSIS;

HIGH RESOLUTION IMAGE RECONSTRUCTION; INACCURATE MOTION; MULTICHANNEL RESTORATION;

IMAGE RECONSTRUCTION;

EID: 36749099930     PISSN: 00913286     EISSN: 15602303     Source Type: Journal    
DOI: 10.1117/1.2802611     Document Type: Article

References (25)

1. S. Park, M. Park, and M. G. Kang, " Superresolution image reconstruction-A technical overview., " IEEE Signal Process. Mag. 20 (3), 21-36 (May 2003).
2. C. Vazquez, E. Dubois, and J. Konrad, " Reconstruction of nonuniformly sampled images in spline spaces., " IEEE Trans. Image Process. 14, 713-725 (June 2005).
3. H. Ur and D. Gross, " Improved resolution from sub-pixel shifted pictures., " CVGIP: Graph. Models Image Process. 54, 181-186 (March 1992).
4. R. Y. Tsai and T. S. Huang, " Multipleframe image restoration and registration., " Advances in Computer Vision and Image Processing Vol. 1, pp. 317-339, JAI Press Inc., London (1984).
5. 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 (June 1990).
6. S. P. Kim and W. Y. Su, " Recursive high-resolution reconstruction of blurred multiframe images., " IEEE Trans. Image Process. 2 (4), 534-539 (Oct. 1993).
7. S. Rhee and M. G. Kang, " DCT-based regularized high resolution image reconstruction algorithm., " Proc. SPIE 39 (8), 1348-1356 (Aug. 1999).
8. M. Park, E. Lee, J. Park, M. G. Kang, and J. Kim, " DCT-based high-resolution image reconstruction considering the inaccurate sub-pixel motion information., " Proc. SPIE 41 (2), 370-380 (Feb. 2002).
9. H. Stark and P. Oskoui, " High resolution image recovery from image-plane arrays, using convex projections., " J. Opt. Soc. Am. A 6, 1715-1726 (1989).
10. A. J. Patti, M. I. Sezan, and A. M. Tekalp, " Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time., " IEEE Trans. Image Process. 6 (8), 1064-1076 (Aug. 1997).
11. R. C. Hardie, K. J. Barnard, J. G. Bognar, E. E. Armstrong, and E. A. Watson, " High-resolution image reconstruction from a sequence of rotated and translated frames and its application to an infrared imaging system., " Proc. SPIE 37 (1), 247-260 (Jan. 1998).
12. R. R. Schulz and R. L. Stevenson, " Extraction of high-resolution frames from video sequences., " IEEE Trans. Image Process. 5 (6), 996-1011 (June 1996).
13. R. C. Hardie, K. J. Barnard, and E. E. Armstrong, " Joint MAP registration and high-resolution image estimation using a sequence of undersampled images., " IEEE Trans. Image Process. 6 (12), 1621-1633 (Dec. 1997).
14. M. Elad and A. Feuer, " Superresolution restoration of an image sequence: adaptive filtering approach., " IEEE Trans. Image Process. 8 (3), 387-395 (March 1999).
15. N. K. Bose, H. C. Kim, and B. Zhou, " Performance analysis of the TLS algorithm for image reconstruction from a sequence of undersampled noisy and blurred frames., " in Proc. IEEE International Conf. Image Processing, Vol. 3, pp. 571-574 (1994).
16. M. K. Ng and N. K. Bose, " Analysis of displacement errors in high-resolution image reconstruction with multisensors., " IEEE Trans. Circuits Syst., I: Fundam. Theory Appl. 49 (6), 806-813 (Jun. 2002).
17. R. Molina, M. Vega, J. Mateos, and A. K. Katsageelos, " Parameter estimation in bayesian high-resolution image reconstruction with multisensors., " IEEE Trans. Image Process. 12 (12), 1655-1667 (Dec. 2003).
18. W. Lim, M. Park, and M. Kang, " Spatially adaptive regularized iterative high resolution image reconstruction algorithm., " Proc. SPIE 4310, 10-20 (2000).
19. E. Lee and M. Kang, " Regularized adaptive high-resolution image reconstruction considering inaccurate subpixel registration., " IEEE Trans. Image Process. 12 (7), 826-837 (July 2003).
20. B. R. Hunt, " Application of constrained least squares estimation to image restoration by digital computers., " IEEE Trans. Image Process. C-22, 805-812 (1973).
21. M. G. Kang and A. K. Katsaggelos, " Simultaneous multichannel image restoration and estimation of the regularization parameters., " IEEE Trans. Image Process. 6, 774-778 (May 1997).
22. A. K. Katsaggelos, Ed., Digital Image Restoration, Springer Series in Information Sciences, Vol. 23, Springer, Heidelberg Germany (1991).
23. M. G. Kang and A. K. Katsaggelos, " General choice of the regularization functional in regularized image restoration., " IEEE Trans. Image Process. 4 (5), 594-602 (May 1995).
24. T. K. Moon and W. C. Stirling, Mathematical Method and Algorithms, Prentice-Hall, Englewood Cliffs, New Jersey (1999).
25. A. M. Tekalp, Digital Video Processing, Prentice-Hall Signal Processing Series, Prentice-Hall, Englewood Cliffs, New Jersey (1995).