© 2006 Optical Society of America

1. J. Biretta, "WFPC and WFPC 2 instrumental characteristics," in The Restoration of HST Images and Spectra II, R. J. Hanisch and R. L. White, eds., pp. 224-235 (Space Telescope Science Institute, Baltimore, MD, 1994).
2. H. J. Trussell and S. Fogel, "Identification and restoration of spatially variant motion blurs in sequential images," IEEE Trans. Image Proc. 1, 123-126 (1992). [CrossRef]
3. R. G. Paxman, B. J. Thelen, and J. H. Seldin, "Phase-diversity correction of turbulence-induced space-variant blur," Opt. Lett. 19, 1231-1233 (1994). [CrossRef] [PubMed]
4. M. C. Roggemann and B. Welsh, Imaging Through Turbulence (CRC Press, Boca Raton, FL, 1996).
5. M. Faisal, A. D. Lanterman, D. L. Snyder, and R. L. White, "Implementation of a Modified Richardson-Lucy Method for Image Restoration on a Massively Parallel Computer to Compensate for Space-Variant Point Spread Function of a Charge-Coupled Device Camera," J. Opt. Soc. Am. A 12, 2593-2603 (1995). [CrossRef]
6. A. F. Boden, D. C. Redding, R. J. Hanisch, and J. Mo, "Massively Parallel Spatially-Variant Maximum Likelihood Restoration of Hubble Space Telescope Imagery," J. Opt. Soc. Am. A 13, 1537-1545 (1996). [CrossRef]
7. J. G. Nagy and D. P. O’Leary, "Restoring images degraded by spatially-variant blur," SIAM J. Sci. Comput. 19, 1063-1082 (1998). [CrossRef]
8. R. A. Gonsalves, "Phase diversity in adaptive optics," Opt. Eng. 21, 829-832 (1982).
9. C. R. Vogel, T. Chan, and R. J. Plemmons, "Fast algorithms for phase diversity-based blind deconvolution," in Adaptive Optical System Technologies, vol. 3353 (SPIE, 1998).
10. R. G. Paxman, T. Schulz, and J. Fienup, "Joint estimation of object and aberrations by using phase diversity," J. Opt. Soc. Am. A 9, 1072-1085 (1992). [CrossRef]
11. L. Gilles, C. R. Vogel, and J. M. Bardsley, "Computational Methods for a Large-Scale Inverse Problem Arising in Atmospheric Optics," Inverse Probl. 18, 237-252 (2002). [CrossRef]
12. J. Nocedal and S. J. Wright, Numerical Optimization (Springer-Verlag, New York, 1999). [CrossRef]
13. H.-M. Adorf, "Towards HST restoration with space-variant PSF, cosmic rays and other missing data," in The Restoration of HST Images and Spectra II, R. J. Hanisch and R. L. White, eds., pp. 72-78 (1994).
14. D. A. Fish, J. Grochmalicki, and E. R. Pike, "Scanning singular-value-decomposition method for restoration of images with space-variant blur," J. Opt. Soc. Am. A 13, 1-6 (1996). [CrossRef]
15. H. J. Trussell and B. R. Hunt, "Image Restoration of Space-Variant Blurs by Sectional Methods," IEEE Trans. Acoust.Speech, Signal Processing 26, 608-609 (1978). [CrossRef]
16. J. G. Nagy and D. P. O’Leary, "Fast iterative image restoration with a spatially varying PSF," in Advanced Signal Processing Algorithms, Architectures, and Implementations VII, F. T. Luk, ed., vol. 3162, pp. 388-399 (SPIE, 1997).
17. H. W. Engl, M. Hanke, and A. Neubauer, Regularization of Inverse Problems (Kluwer Academic Publishers, Dordrecht, 2000).
18. P. C. Hansen, Rank-deficient and discrete ill-posed problems (SIAM, Philadelphia, PA, 1997).
19. C. R. Vogel, Computational Methods for Inverse Problems (SIAM, Philadelphia, PA, 2002). [CrossRef]

IEEE Trans. Image Proc.

• H. J. Trussell and S. Fogel, "Identification and restoration of spatially variant motion blurs in sequential images," IEEE Trans. Image Proc. 1, 123-126 (1992). [CrossRef]

Inverse Probl.

• L. Gilles, C. R. Vogel, and J. M. Bardsley, "Computational Methods for a Large-Scale Inverse Problem Arising in Atmospheric Optics," Inverse Probl. 18, 237-252 (2002). [CrossRef]

J. Opt. Soc. Am. A

• D. A. Fish, J. Grochmalicki, and E. R. Pike, "Scanning singular-value-decomposition method for restoration of images with space-variant blur," J. Opt. Soc. Am. A 13, 1-6 (1996). [CrossRef]
• M. Faisal, A. D. Lanterman, D. L. Snyder, and R. L. White, "Implementation of a Modified Richardson-Lucy Method for Image Restoration on a Massively Parallel Computer to Compensate for Space-Variant Point Spread Function of a Charge-Coupled Device Camera," J. Opt. Soc. Am. A 12, 2593-2603 (1995). [CrossRef]
• A. F. Boden, D. C. Redding, R. J. Hanisch, and J. Mo, "Massively Parallel Spatially-Variant Maximum Likelihood Restoration of Hubble Space Telescope Imagery," J. Opt. Soc. Am. A 13, 1537-1545 (1996). [CrossRef]
• R. G. Paxman, T. Schulz, and J. Fienup, "Joint estimation of object and aberrations by using phase diversity," J. Opt. Soc. Am. A 9, 1072-1085 (1992). [CrossRef]

Opt. Eng.

• R. A. Gonsalves, "Phase diversity in adaptive optics," Opt. Eng. 21, 829-832 (1982).

Opt. Lett.

• R. G. Paxman, B. J. Thelen, and J. H. Seldin, "Phase-diversity correction of turbulence-induced space-variant blur," Opt. Lett. 19, 1231-1233 (1994). [CrossRef] [PubMed]

SIAM J. Sci. Comput.

• J. G. Nagy and D. P. O’Leary, "Restoring images degraded by spatially-variant blur," SIAM J. Sci. Comput. 19, 1063-1082 (1998). [CrossRef]

Speech, Signal Processing

• H. J. Trussell and B. R. Hunt, "Image Restoration of Space-Variant Blurs by Sectional Methods," IEEE Trans. Acoust.Speech, Signal Processing 26, 608-609 (1978). [CrossRef]

Other

• J. G. Nagy and D. P. O’Leary, "Fast iterative image restoration with a spatially varying PSF," in Advanced Signal Processing Algorithms, Architectures, and Implementations VII, F. T. Luk, ed., vol. 3162, pp. 388-399 (SPIE, 1997).
• H. W. Engl, M. Hanke, and A. Neubauer, Regularization of Inverse Problems (Kluwer Academic Publishers, Dordrecht, 2000).
• P. C. Hansen, Rank-deficient and discrete ill-posed problems (SIAM, Philadelphia, PA, 1997).
• C. R. Vogel, Computational Methods for Inverse Problems (SIAM, Philadelphia, PA, 2002). [CrossRef]
• J. Nocedal and S. J. Wright, Numerical Optimization (Springer-Verlag, New York, 1999). [CrossRef]
• H.-M. Adorf, "Towards HST restoration with space-variant PSF, cosmic rays and other missing data," in The Restoration of HST Images and Spectra II, R. J. Hanisch and R. L. White, eds., pp. 72-78 (1994).
• M. C. Roggemann and B. Welsh, Imaging Through Turbulence (CRC Press, Boca Raton, FL, 1996).
• C. R. Vogel, T. Chan, and R. J. Plemmons, "Fast algorithms for phase diversity-based blind deconvolution," in Adaptive Optical System Technologies, vol. 3353 (SPIE, 1998).
• J. Biretta, "WFPC and WFPC 2 instrumental characteristics," in The Restoration of HST Images and Spectra II, R. J. Hanisch and R. L. White, eds., pp. 224-235 (Space Telescope Science Institute, Baltimore, MD, 1994).

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