OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 11 — Apr. 10, 2010
  • pp: 2132–2142

Application of the general image-quality equation to aberrated imagery

Samuel T. Thurman and James R. Fienup  »View Author Affiliations


Applied Optics, Vol. 49, Issue 11, pp. 2132-2142 (2010)
http://dx.doi.org/10.1364/AO.49.002132


View Full Text Article

Enhanced HTML    Acrobat PDF (1066 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

The regression analysis for the general image-quality equation (GIQE) [ Appl. Opt. 36, 8322–8328 (1997)] was performed using image data from well-corrected optical systems. We conducted human-subject experiments to examine the use of the GIQE with aberrated imagery. A modified image-quality equation for aberrated imagery is presented based on analysis of the experimental results.

© 2010 Optical Society of America

OCIS Codes
(110.3000) Imaging systems : Image quality assessment
(110.4280) Imaging systems : Noise in imaging systems
(280.4991) Remote sensing and sensors : Passive remote sensing
(110.3010) Imaging systems : Image reconstruction techniques

ToC Category:
Imaging Systems

History
Original Manuscript: November 17, 2009
Revised Manuscript: March 1, 2010
Manuscript Accepted: March 14, 2010
Published: April 7, 2010

Citation
Samuel T. Thurman and James R. Fienup, "Application of the general image-quality equation to aberrated imagery," Appl. Opt. 49, 2132-2142 (2010)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-49-11-2132


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. For a broad, in-depth review of various image-quality metrics see H. H. Barrett and K. Myers, Foundations of Image Science (Wiley, 2004).
  2. R. D. Fiete, H. H. Barret, W. E. Smith, and K. J. Myers, “Hotelling trace criterion and its correlation with human-observer performance,” J. Opt. Soc. Am. A 4, 945-953 (1987). [CrossRef] [PubMed]
  3. P. G. J. Barten, “Evaluation of subjective image quality with the square-root integral method,” J. Opt. Soc. Am. A 7, 2024-2031 (1990). [CrossRef]
  4. J. C. Leachtenauer, W. Malila, J. Irvine, L. Colburn, and N. Salvaggio, “General image-quality equation: GIQE,” Appl. Opt. 36, 8322-8328 (1997). [CrossRef]
  5. J. C. Leachtenauer and R. G. Driggers, Surveillance and Reconnaissance Systems: Modeling and Performance Prediction (Artech, 2001).
  6. R. D. Fiete and T. Tantalo, “Comparison of SNR image quality metrics for remote sensing systems,” Opt. Eng. 40, 574-585 (2001). [CrossRef]
  7. R. D. Fiete, T. A. Tantalo, J. R. Calus, and J. A. Mooney, “Image quality of sparse-aperture designs for remote sensing,” Opt. Eng. 41, 1957-1969 (2002). [CrossRef]
  8. S. T. Thurman and J. R. Fienup, “Analysis of the general image quality equation,” Proc. SPIE 6978, 69780F (2008). [CrossRef]
  9. J. R. Schott, S. D. Brown, R. V. Raqueno, H. N. Gross, and G. Robinson, “An advanced synthetic image generation model and its application to multi/hyperspectral algorithm development,” Can. J. Remote Sens. 25, 99-111 (1999).
  10. F. W. Campbell, J. J. Kulikowski, and J. Levinson, “The effect of orientation on the visual resolution of gratings,” J. Physiol. 187, 427-436 (1966). [PubMed]
  11. http://www.digitalglobe.com/index.php/86/WorldView-1.
  12. http://www.satimagingcorp.com/satellite-sensors/geoeye-1.html.
  13. J. W. Goodman, Introduction to Fourier Optics, 3rd ed.(Roberts, 2005).
  14. http://www.mathworks.com/products/matlab/.
  15. A. K. Jain, Fundamentals of Digital Image Processing(Prentice Hall, 1989).
  16. N. Wiener, Extrapolation, Interpolation and Smoothing of Stationary Time Series (Wiley, 1950).
  17. H. W. Bode and C. E. Shannon, “A simplified derivation of linear least square smoothing and prediction theory,” Proc. IRE 38, 417-425 (1950). [CrossRef]
  18. C. W. Helstrom, “Image reconstruction by the method of least squares,” J. Opt. Soc. Am. 57, 297-303 (1967). [CrossRef]
  19. S. T. Thurman and J. R. Fienup, “Wiener reconstruction of undersampled imagery,” J. Opt. Soc. Am. A 26, 283-288 (2009). [CrossRef]
  20. J. B. Hadaway, P. Stahl, R. Eng, and B. Hogue, “Cryogenic test results of Hextek mirror,” presented at Mirror Technology Days 2004, Huntsville, Alabama, USA, 17-19 August 2004.
  21. P. F. Judy and R. G. Swennsson, “Lesion detection and signal-to-noise ratio in CT images,” Med. Phys. 8, 13-23 (1981). [CrossRef] [PubMed]
  22. P. A. Guignard, “A comparative method based on ROC analysis for the quantitation of observer performance in scintigraphy,” Phys. Med. Biol. 27, 1163-1176 (1982). [CrossRef] [PubMed]
  23. K. J. Myers, H. H. Barrett, M. C. Borgstrom, D. D. Patton, and G. W. Seeley, “Effect of noise correlation on detectability of disk signals in medical imaging,” J. Opt. Soc. Am. A 2, 1752-1759 (1985). [CrossRef] [PubMed]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited