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Applied Optics

Applied Optics


  • Editor: James C. Wyant
  • Vol. 47, Iss. 30 — Oct. 20, 2008
  • pp: 5550–5556

Real-time extended dynamic range imaging in shearography

Roger M. Groves, Giancarlo Pedrini, and Wolfgang Osten  »View Author Affiliations

Applied Optics, Vol. 47, Issue 30, pp. 5550-5556 (2008)

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Extended dynamic range (EDR) imaging is a postprocessing technique commonly associated with photography. Multiple images of a scene are recorded by the camera using different shutter settings and are merged into a single higher dynamic range image. Speckle interferometry and holography techniques require a well-modulated intensity signal to extract the phase information, and of these techniques shearography is most sensitive to different object surface reflectivities as it uses self-referencing from a sheared image. In this paper the authors demonstrate real-time EDR imaging in shearography and present experimental results from a difficult surface reflectivity sample: a wooden panel painting containing gold and dark earth color paint.

© 2008 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(120.0120) Instrumentation, measurement, and metrology : Instrumentation, measurement, and metrology
(120.6165) Instrumentation, measurement, and metrology : Speckle interferometry, metrology

ToC Category:
Instrumentation, Measurement, and Metrology

Original Manuscript: July 22, 2008
Revised Manuscript: September 12, 2008
Manuscript Accepted: September 15, 2008
Published: October 13, 2008

Roger M. Groves, Giancarlo Pedrini, and Wolfgang Osten, "Real-time extended dynamic range imaging in shearography," Appl. Opt. 47, 5550-5556 (2008)

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  1. F. Michiels, W. Vanhoolst, P. Van Espen, and F. Adams, “Acquisition and quantification of ion images with a camera-based detection system and classical quantification algorithms,” J. Am. Soc. Mass. Spectrom. 1, 37-52 (1990). [CrossRef]
  2. W. K. Vanhoolst and P. Van Espen, “Image processing in Secondary Ion Mass Spectroscopy,” Mikrochim. Acta 104, 415-425 (1991). [CrossRef]
  3. A. L. Broadfoot and B. R. Sandel, “Application of the intensified CCD to airglow and auroral measurements,” Appl. Opt. 31, 3097-3108 (1992). [CrossRef] [PubMed]
  4. G. W. Larson, H. Rushmeier, and C. Piatko, “A visibility matching tone reproduction operator for high dynamic range scenes,” IEEE Trans. Vis. Comput. Graph. 3, 291-306 (1997). [CrossRef]
  5. Y. Y. Schechner and S. K. Nayar, “Generalized mosaicing: high dynamic range in a wide field of view,” Int. J. Comput. Vis. 53, 245-267 (2003). [CrossRef]
  6. W. Steinchen and L. Yang, Digital Shearography (SPIE, 2001).
  7. Digital Speckle Pattern Interferometry and Related Techniques, P. K. Rasstogi, ed. (Wiley, 2001).
  8. A. J. Moore and J. R. Tyrer, “An electronic speckle pattern interferometer for complete in-plane displacement measurement,” Meas. Sci. Technol. 1, 1024-1030 (1990). [CrossRef]
  9. J. N. Butters and J. A. Leendertz, “Holographic and video techniques applied to engineering measurement,” J. Meas. Control 4, 349-354 (1971).
  10. T. Kreis, Handbook of Holographic Interferometry (Wiley-VCH, 2005).
  11. K. Creath, “Temporal phase measurement methods,” in Interferogram Analysis, Digital Fringe Measurement Methods, D. W. Robinson and G. T. Reid, eds. (Institute of Physics, 1993).
  12. J.-R. Lee, “Spatial resolution and resolution in phase-shifting interferometry,” Meas. Sci. Technol. 16, 2525-2533 (2005). [CrossRef]
  13. D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping (J. Wiley, 1998).
  14. R. M. Groves, G. Pedrini, and W. Osten, “Extended dynamic range imaging in shearography,” Proc. SPIE 7000, 700010 (2008). [CrossRef]
  15. T.-J. Chen, K.-S. Chuang, J. Wu, S. C. Chen, I.-M. Hwang, and M.-L. Jan, “A novel image quality index using Moran I Statistics,” Phys. Med. Biol. 48, N131-1N137 (2003). [CrossRef] [PubMed]
  16. K.-S. Chuang and H. K. Huang, “Assessment of noise in a digital image using the joint-count statistic and the Moran test,” Phys. Med. Biol. 37, 357-369 (1992). [CrossRef] [PubMed]
  17. A. D. Cliff and J. K. Ord, Spatial Process: Models and Applications (Pion, 1986).

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