A fast MAP-based super-resolution algorithm for general motion

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6065, Issue , 2006, Pages

  Tanaka, Masayuki ^a   Okutomi, Masatoshi ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Fast algorithm; MAP; Super resolution

Indexed keywords

FREQUENCY DOMAIN ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MOTION ESTIMATION; OPTIMIZATION;

FAST ALGORITHM; MAP; SUPER-RESOLUTION;

ALGORITHMS;

EID: 33645654592     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.642152     Document Type: Conference Paper

References (19)

1. S. C. Park, M. K. Park, and M. G. Kang, "Super-resolution image reconstruction: A technical overview," IEEE Signal Processing Magazine 20(3), pp. 21-36, 2003.
2. D. Capel, Image Mosaicing and Super-resolution, 2004.
3. B. C. Tom and A. K. Katsaggelos, "Reconstruction of a high-resolution image by simultaneous registration, restoration, and interpolation of low-resolution images," Proc. IEEE Int. Conf. Image Processing 2, pp. 539-542, 1995.
4. R. R. Schultz and R. L. Stevenson, "Extraction of high-resolution frames from video sequences," IEEE Trans. Image Processing 5, pp. 996-1011, 1996.
5. H. Stark and P. Oskoui, "High resolution image recovery from image-plane arrays, using convex projections," J. Opt. Soc. Am. A 6, pp. 1715-1726, 1989.
6. R. Y. Tsai and T. S. Huang, "Multiframe image restoration and registration," Advances in Computer Vision and Image Processing 1, pp. 317-339, 1984.
7. E. Kaltenbacher and R. C. Hardie, "High resolution infrared image reconstruction using multiple, low resolution, and aliased frames," Proc. of the IEEE National Aerospace Electronic Conference (NAECON) 2, pp. 702-709, 1996.
8. 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 Processing 38(6), pp. 1013-1027, 1990.
9. S. P. Kim and W. Y. Su, "Recursive high-resolution reconstruction of blurred multiframe images," IEEE Trans. Image Processing 2(4), pp. 534-539, 1993.
10. S. Baker and T. Kanade, "Limits on super-resolution and how to break them," IEEE Trans. Pattern Analysis and Machine Intelligence 24(9), pp. 1167-1183, 2002.
11. Z. Lin and H.-Y. Shum, "Fundamental limits of reconstruction-based super-resolution algorithms under local translation," IEEE Trans. Pattern Analysis and Machine Intelligence 26(1), pp. 83-97, 2004.
12. M. Tanaka and M. Okutomi, "Theoretical analysis on reconstruction-based super-resolution for an arbitrary psf," Proc. of IEEE Computer Society Conference on CVPR 2, pp. 947-954, 2005.
13. N. Nguyen, P. Milanfar, and G. Golub, "A computationally efficient superresolution image reconstruction algorithm," IEEE Trans. Image Processing 10(8), pp. 573-583, 2001.
14. 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 10(8), pp. 573-583, 2001.
15. S. Farsiu, M. D. Robinson, M. Elad, and P. Milanfar, "Fast and robust multiframe super resolution," IEEE Trans. Image Processing 13(10), pp. 1327-1344, 2004.
16. M. C. Chiang and T. E. Boult, "Efficient super-resolution via image warping," Image and Vision Computing 18(10), pp. 761-771, 2000.
17. T. E. Boult and G. Wolberg, "Local image reconstruction and subpixel restoration algorithm," CVGIP: Graphical Models and Image Processing 55, pp. 63-77, 1993.
18. S. Baker and I. Matthews, "Lucas-kanade 20 years on: A unifying framework," International Journal of Computer Vision 56(3), pp. 221-255, 2004.
19. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Processing 13(4), pp. 600-612, 2004.