Small-kernel superresolution methods for microscanning imaging systems

Applied Optics

Volumn 45, Issue 6, 2006, Pages 1203-1214

  Shi, Jiazheng ^a   Reichenbach, Stephen E ^a   Howe, James D ^b  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b NIGHT VISION AND ELECTRONIC SENSORS DIRECTORATE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE RECONSTRUCTION; OPTICAL FILTERS; OPTICAL PROPERTIES; OPTICAL RESOLVING POWER; PHASE SHIFT; SCANNING;

CONVOLUTION FILTER; LOW-RESOLUTION IMAGES; MICROSCANNING;

IMAGING SYSTEMS;

EID: 33645509552     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.45.001203     Document Type: Article

References (36)

1. M. G. Kang and S. Chaudhuri, "Super-resolution image reconstruction," IEEE Signal Process. Mag. 20(3), 19-20 (2003).
2. E. Choi, J. Choi, and M. G. Kang, "Super-resolution approach to overcome physical limitations of imaging sensors: an overview," Int. J. Imag. Syst. Technol. 14, 36-46 (2004).
3. S. C. Park, M. K. Park, and M. G. Kang, "Super-resolution image reconstruction: a technical overview," IEEE Signal Process. Mag. 20(3), 21-36 (2003).
4. 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," Opt. Eng. 37, 247-260 (1998).
5. M. Elad and A. Feuer, "Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images," IEEE Trans. Image Process. 6, 1646-1658 (1997).
6. C. L. L. Hendriks and L. J. V. Vliet, "Improving resolution to reduce aliasing in an undersampled image sequence," in Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications, M. M. Blouke, N. Sampat, G. M. Williams, and T. Yeh, eds., Proc. SPIE 3965, 1-9 (2000).
7. H. Foroosh, J. B. Zerubia, and B. Marc, "Extension of phase correlation to subpixel registration," IEEE Trans. Image Process. 11, 188-200 (2002).
8. M. Irani and S. Peleg, "Improving resolution by image registration," CVGIP Graph. Models Image Process. 53, 231-239 (1991).
9. M. S. Alam, J. G. Bognar, R. C. Hardie, and B. J. Yasuda, "Infrared image registration and high-resolution reconstruction using multiple translationally shifted aliased video frames," IEEE Trans. Instrum. Meas. 49, 915-923 (2000).
10. T. M. Lehmann, C. Gonner, and K. Spitzer, "Survey: interpolation methods in medical image processing," IEEE Trans. Med. Imag. 18, 1049-1075 (1999).
11. M. L. Stein, Interpolation of Spatial Data: Some Theory for Kriging (Springer-Verlag, 1999).
12. J. Ruiz-Alzola, C. Alberola-López, and C. F. Westin, "Adaptive kriging filters for multidimensional signal processing," Signal Process. 85, 413-439 (2005).
13. A. K. Katsaggelos, Digital Image Restoration (Springer-Verlag, 1991).
14. R. L. Lagendijk and J. Biemond, "Basic methods for image restoration and identification," in Handbook of Image and Video Processing, A. Bovik, ed. (Academic, 2000).
15. M. K. Ng and N. K. Bose, "Mathematical analysis of super-resolution methodology," IEEE Signal Process. Mag. 20, 62-74 (2003).
16. R. Y. Tsai and T. S. Huang, "Multiframe image restoration and registration," in Advances in Computer Vision and Image Processing, T. S. Huang, ed. (JAI Press 1984), pp. 317-339.
17. 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).
18. S. P. Kim and W.-Y. Su, "Recursive high-resolution reconstruction of blurred multiframe images," IEEE Trans. Image Process. 2, 534-539 (1993).
19. R. R. Schultz and R. L. Stevenson, "Extraction of high-resolution frames from video sequences," IEEE Trans. Image Process. 5, 996-1011 (1996).
20. M. Elad and Y. Hel-Or, "A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur," IEEE Trans. Image Process. 10, 1187-1193 (2001).
21. N. Nguyen and P. Milanfar, "A computationally efficient super-resolution image reconstruction algorithm," IEEE Trans. Image Process. 10, 573-583 (2001).
22. S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, "Advances and challenges in superresolution," Int. J. Imag. Syst. Technol. 14, 47-57 (2004).
23. S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, "Fast and robust multiframe super resolution," IEEE Trans. Image Process. 13, 1327-1344 (2004).
24. C. L. Fales, F. O. Huck, J. A. McCormick, and S. K. Park, "Wiener restoration of sampled image data: end-to-end analysis," J. Opt. Soc. Am. A 5, 300-314 (1988).
25. E. H. Linfoot, Transmission factors and optical design," J. Opt. Soc. Am. 46, 740-752 (1956).
26. S. E. Reichenbach and S. K. Park, "Small convolution kernels for high-fidelity image restoration," IEEE Trans. Signal Process. 39, 2263-2274 (1991).
27. R. G. Keys, "Cubic convolution interpolation for digital image processing," IEEE Trans. Acoust. Speech Signal Process. 29, 1153-1160 (1981).
28. S. K. Park and R. A. Schowengerdt, "Image reconstruction by parametric cubic convolution," Comput. Vision Graph. Image Process. 23, 258-272 (1983).
29. S. E. Reichenbach and J. Shi, "Two-dimensional cubic convolution for one-pass image restoration and reconstruction," in International Geoscience and Remote Sensing Symposium (Institute of Electrical and Electronics Engineers, 2004), pp. 2074-2076.
30. J. Shi and S. E. Reichenbach, "Image image interpolation by two-dimensional parametric cubic convolution," IEEE Trans. Image Process, (to be published).
31. P. Milanfar, Resolution enhancement software, www.soe.ucsc.edu/~milanfar/ SR-software.htm (2004).
32. Nebraska Department of Natural Resources, Digital Orthophoto Quadrangle Database, www.dnr.state.ne.us/databank/coq.html (2004).
33. T. Blu, P. Thévenaz, and M. Unser, "MOMS: maximal-order interpolation of minimal support," IEEE Trans. Image Process. 10, 1069-1080 (2001).
34. R. A. Schowengerdt, Remote Sensing: Models and Methods for Image Processing, 2nd ed. (Academic, 1997).
35. K. R. Castleman, Digital Image Processing (Prentice-Hall, 1979).
36. S. E. Reichenbach, S. K. Park, and R. Narayanswamy, "Characterizing digital image acquisition devices," Opt. Eng. 30, 170-177 (1991).