Online blind deconvolution for astronomical imaging

2009 IEEE International Conference on Computational Photography, ICCP 09

Volumn , Issue , 2009, Pages

  Harmeling, Stefan ^a   Hirsch, Michael ^a   Sra, Suvrit ^a   Schölkopf, Berhard ^a  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL DATA; ASTRONOMICAL IMAGES; ASTRONOMICAL IMAGING; BLIND DECONVOLUTION; DATA SETS; NOISY IMAGE; ON-LINE FASHION; PEAK INTENSITY; REAL-WORLD; STREHL RATIO;

COLOR PHOTOGRAPHY; CONVOLUTION;

EARTH (PLANET);

EID: 77958006144     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCPHOT.2009.5559014     Document Type: Conference Paper

References (22)

1. B. Anconelli, M. Bertero, P. Boccacci, M. Carbillet, and H. Lanteri. Restoration of interferometric images - III. Efficient Richardson-Lucy methods for LINC-NIRVANA data reduction. Astron. & Astrophy., 430(2), 2005. 2
2. M. Bertero and P. Boccacci. Image restoration methods for the Large Binocular Telescope. Astron. & Astrophy., 147, 2000. 2
3. R. Byrd, P. Lu, J. Nocedal, and C. Zhu. A Limited Memory Algorithm for Bound Constrained Optimization. SIAM J. Scientific Comp., 16(5):1190-1208, 1995. 3
4. M. E. Daube-Witherspoon and G. Muehllehner. An Iterative Image Space Reconstruction Algorthm Suitable for Volume ECT. IEEE Tran. Medical Imaging, 5(2):61-66, 1986. 3
5. D. L. Fried. Probability of getting a lucky short-exposure image through turbulence. J. Optical Soc. Amer., 86(1651-1657), 1978. 1
6. A. S. Fruchter and R. N. Hook. Drizzle: A Method for the Linear Reconstruction of Undersampled Images. Publications Astron. Soc. of the Pacific, 114: 144-152, 2002. 1
7. E. Hazan, A. Agarwal, and S. Kale. Logarithmic regret algorithms for online convex optimization. Machine Learning, 69(2-3),2007. 2
8. K. T. Knox and B. J. Thompson. Recovery of images from atmospherically degraded short-exposure photographs. Astrophysical J., 193:L45-L48, 1974. 1
9. D. Kundur and D. Hatzinakos. Blind image deconvolution. IEEE Signal Processing Mag., 13(3):43-64, 1996. 2
10. A. Labeyrie. Attainment of Diffraction Limited Resolution in Large Telescopes by Fourier Analysing Speckle Patterns in Star Images. Astron. & Astrophy., 6, 1970. 1
11. R. Molina, J. N. nez, F. J. Cortijo, and J. Mateos. Image Restoration in Astronomy: A Bayesian Perspective. IEEE Signal Proc. Mag., 2001. 2
12. D. Nettleton. Convergence Properties of the EM Algorithm in Constrained Parameter Spaces. The Canadian J Statistics, 27(3):639-648,1999. 3
13. A. Rav-Acha and S. Pe1eg. Two motion-blurred images are better than one. Pattern Recognition Lett., 26(3), 2005. 2
14. W. H. Richardson. Bayesian-based iterative method of image restoration. J. Optical Soc. Amer, 62:55-59,1972. 2
15. F. Roddier, J. M. Gilli, and G. Lund. On the origin of speckle boiling and its effects in stellar speckle interferometry. Journal of Optics, 13:263-271, 1982. 6
16. T. J. Schulz. Multiframe blind deconvolution of astronomical images. J Optical Soc. Amer., 10:1064-1073, 1993. 2
17. L. A. Shepp and Y. Vardi. Maximum likelihood reconstruction for emission tomography. IEEE Tran. Medical Imaging, 1:113-122, 1982. 4
18. R. N. Tubbs. Lucky Exposures: Diffraction limited astronomical imaging through the atmosphere. PhD thesis, Cambridge Univ., 2003. 1
19. R. Vio, J. Bardsley, and W. Wamsteker. Least-squares methods with Poissonian noise: Analysis and comparison with the Richardson-Lucy algorithm. Astron. & Astrophy., 436, 2005. 2, 3
20. R. Vio, J. Nagy, and L. T. and. A simple but efficient algorithm for multiple image deblurring. Astron. & Astrophy., 416(1), 2004. 2
21. R. Vio and W. Wamsteker. Use of the single-image approach in multiple-image deblurring problems with poissonian noise. Astron. & Astrophy., 439, 2005. 2
22. M. Zinkevich. Online convex programming and generalized infinitesimal gradient ascent. In Int. Conf. Machine Learning (ICML), 2003. 2