Efficient super-resolution image reconstruction applied to surveillance video captured by small unmanned aircraft systems

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6968, Issue , 2008, Pages

  He, Qiang ^a   Schultz, Richard R ^b   Chu, Chee Hung Henry ^c  

^a MISSISSIPPI VALLEY STATE UNIVERSITY   (United States)

^b University of North Dakota   (United States)

^c University of Louisiana at Lafayette   (United States)

Author keywords

Affine transformation; Image registration; Median filter; Super resolution; Unmanned aircraft system (UAS)

Indexed keywords

APPLIED (CO); BACK PROJECTION ALGORITHMS; BI-CUBIC INTERPOLATION; COARSE TO FINE STRATEGY; EXPERIMENTAL RESULTS; IMAGE SEQUENCING; INTERNATIONAL SOCIETY; ITERATIVE ALGORITHMS; LOW-RESOLUTION (LR) IMAGES; MEDIAN FILTERING; OPTICAL (PET) (OPET); PROJECTION ONTO CONVEX SETS (POCS); REAL TIME PROCESSING; REFERENCE FRAMES; SENSOR FUSION (SF); SUB PIXELS; SUPER RESOLUTION (SR); SUPER RESOLUTION (SR) IMAGE RECONSTRUCTION; SUPER RESOLUTION ALGORITHMS; SURVEILLANCE VIDEOS; TARGET RECOGNITION; UNMANNED AIRCRAFT; UNMANNED AIRCRAFT SYSTEM (UAS); VIDEO DATA; VISUAL PERFORMANCE;

AIRCRAFT; ALGORITHMS; AUTOMOBILE FRAMES; BISMUTH; BISMUTH PLATING; BOOLEAN FUNCTIONS; COMPUTER NETWORKS; CUBIC BORON NITRIDE; DATA FUSION; EVOLUTIONARY ALGORITHMS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGE REGISTRATION; INTERPOLATION; ITERATIVE METHODS; LIGHT MEASUREMENT; MOTION ESTIMATION; NUMERICAL ANALYSIS; OPTICAL ENGINEERING; OPTICAL RESOLVING POWER; REPAIR; RESTORATION; SCHEDULING ALGORITHMS; SECURITY SYSTEMS; SENSOR DATA FUSION; SIGNAL PROCESSING; STATISTICS; TECHNOLOGY;

SET THEORY;

EID: 44949217664     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.767826     Document Type: Conference Paper

References (31)

1. S. Borman and R. L. Stevenson, "Spatial Resolution Enhancement of Low-Resolution Image Sequences - A Comprehensive Review with Directions for Future Research." University of Notre Dame, Technical Report, 1998.
2. D. Capel and A. Zisserman, "Computer Vision Applied to Super Resolution." IEEE Signal Processing Magazine, vol. 20, no. 3, pp. 75-86, May 2003.
3. M. C. Chiang and T. E. Boulte, "Efficient Super-Resolution via Image Warping." Image Vis. Comput., vol. 18, no. 10, pp. 761-771, July 2000.
4. M. Elad and A. Feuer, "Restoration of a Single Super-Resolution Image from Several Blurred, Noisy and Down-Sampled Measured Images." IEEE Trans. Image Processing, vol. 6, pp. 1646-1658, Dec. 1997.
5. M. Elad and Y. Hel-Or, "A Fast Super-Resolution Reconstruction Algorithm for Pure Translational Motion and Common Space Invariant Blur." IEEE Trans. Image Processing, vol. 10, pp. 1187-1193, Aug. 2001.
6. S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, "Advances and Challenges in Super-Resolution." International Journal of Imaging Systems and Technology, Special Issue on High Resolution Image Reconstruction, vol. 14, no. 2, pp. 47-57, Aug. 2004.
7. S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, "Fast and Robust Multi-Frame Super-resolution." IEEE Transactions on Image Processing, vol. 13, no. 10, pp. 1327-1344, Oct. 2004.
8. R.W. Gerchberg, "Super-Resolution through Error Energy Reduction." Optica Acta, vol. 21, no. 9, pp. 709-720, 1974.
9. R. C. Gonzalez and P. Wintz, Digital Image Processing. New York: Addison-Wesley, 1987.
10. M. Irani and S. Peleg, "Super Resolution From Image Sequences." International Conference on Pattern Recognition, vol. 2, pp. 115-120, June 1990.
11. M. Irani, B. Rousso, and S. Peleg, "Computing Occluding and Transparent Motions." International Journal of Computer Vision, vol. 12, no. 1, pp. 5-16, Feb. 1994.
12. M. Irani and S. Peleg, "Improving Resolution by Image Registration." CVGIP: Graph. Models Image Processing, vol. 53, pp. 231-239, 1991.
13. A. K. Jain, Fundamentals in Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1989.
14. D. Keren, S. Peleg, and R. Brada, "Image Sequence Enhancement Using Sub-Pixel Displacements." In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '88), pp. 742-746, Ann Arbor, Michigan, June 1988.
15. S. P. Kim and W.-Y. Su, "Subpixel Accuracy Image Registration by Spectrum Cancellation." In Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 5, pp. 153-156, April 1993.
16. R. L. Lagendijk and J. Biemond. Iterative Identification and Restoration of Images. Boston, MA: Kluwer, 1991.
17. L. Lucchese and G. M. Cortelazzo, "A Noise-Robust Frequency Domain Technique for Estimating Planar Roto-Translations." IEEE Transactions on Signal Processing, vol. 48, no. 6, pp. 1769-1786, June 2000.
18. N. Nguyen, P. Milanfar, and G. H. Golub, "A Computationally Efficient Image Superresolution Algorithm." IEEE Trans. Image Processing, vol. 10, pp. 573-583, April 2001.
19. A. Papoulis, "A New Algorithm in Spectral Analysis and Band-Limited Extrapolation." IEEE Transactions on Circuits and Systems, vol. 22, no. 9, pp. 735-742, 1975.
20. S. C. Park, M. K. Park, and M. G. Kang, "Super-Resolution Image Reconstruction: A Technical Overview?." IEEE Signal Processing Magazine, vol. 20, no. 3, pp. 21-36, May 2003.
21. S. Peleg, D. Keren, and L. Schweitzer, "Improving Image Resolution Using Subpixel Motion." CVGIP: Graph. Models Image Processing, vol. 54, pp. 181-186, March 1992.
22. W. K. Pratt, Digital Image Processing. New York: Wiley, 1991.
23. R. R. Schultz, L. Meng, and R. L. Stevenson, "Subpixel Motion Estimation for Super-Resolution Image Sequence Enhancement." Journal of Visual Communication and Image Representation, vol. 9, no. 1, pp. 38-50, 1998.
24. H. Stark and P. Oskoui, "High-Resolution Image Recovery from Image-Plane Arrays Using Convex Projections." Journal of the Optical Society of America, Series A, vol. 6, pp. 1715-1726, Nov. 1989.
25. H. S. Stone, M. T. Orchard, E.-C. Chang, and S. A. Martucci, "A Fast Direct Fourier-Based Algorithm for Sub-Pixel Registration of Images." IEEE Transactions on Geoscience and Remote Sensing, vol. 39, no. 10, pp. 2235-2243, Oct. 2001.
26. st ACM Int. Conf. Multimedia, vol. 10, pp. 39-46, Anaheim, California, Aug. 1993.
27. R. Y. Tsai and T. S. Huang, "Multiframe Image Restoration and Registration." In Advances in Computer Vision and Image Processing, vol. 1, chapter 7, pp. 317-339, JAI Press, Greenwich, Connecticut, 1984.
28. H. Ur and D. Gross, "Improved Resolution from Sub-Pixel Shifted Pictures." CVGIP: Graph. Models Image Processing, vol. 54, no. 181-186, March 1992.
29. P. Vandewalle, S. Susstrunk, and M. Vetterli, "A Frequency Domain Approach to Registration of Aliased Images with Application to Super-Resolution." EURASIP Journal on Applied Signal Processing, vol. 2006, pp. 1-14, Article ID 71459.
30. B. Zitova and J. Flusser, "Image Registration Methods: A Survey." Image and Vision Computing, vol. 21, no. 11, pp. 977-1000, 2003.
31. A. Zomet, A. Rav-Acha, and S. Peleg, "Robust Superresolution." In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '01), vol. 1, pp. 645-650, Kauai, Hawaii, Dec. 2001.