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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 20, Iss. 20 — Sep. 24, 2012
  • pp: 22454–22464

Numerical twin image suppression by nonlinear segmentation mask in digital holography

ChoongSang Cho, ByeongHo Choi, Hoonjong Kang, and Sangkeun Lee  »View Author Affiliations


Optics Express, Vol. 20, Issue 20, pp. 22454-22464 (2012)
http://dx.doi.org/10.1364/OE.20.022454


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Abstract

The in-line holography has obvious advantages especially in wider spatial bandwidth over the off-axis holography. However, a direct current(DC)-noise and an unwanted twin image should be separated or eliminated in the in-line holography for a high quality reconstruction. An approach for suppressing the twin image is proposed by separating the real and twin image regions in the digital holography. Specifically, the initial region of real and twin images is obtained by a blind separation matrix, and the segmentation mask to suppress the twin image is calculated by nonlinear quantization from the segmented image. For the performance evaluation, the proposed method is compared with the existing approaches including the overlapping block variance and manual-based schemes. Experimental results showed that the proposed method has a better performance at the overlapped region of the real and twin images. Additionally, the proposed method causes less loss of real image than the overlapping block variance-based scheme. Therefore, we believe that the proposed scheme can be a useful tool for high quality reconstruction in the in-line holography.

© 2012 OSA

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(090.1995) Holography : Digital holography

ToC Category:
Image Processing

History
Original Manuscript: July 17, 2012
Revised Manuscript: August 16, 2012
Manuscript Accepted: September 11, 2012
Published: September 17, 2012

Citation
ChoongSang Cho, ByeongHo Choi, Hoonjong Kang, and Sangkeun Lee, "Numerical twin image suppression by nonlinear segmentation mask in digital holography," Opt. Express 20, 22454-22464 (2012)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-20-20-22454


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References

  1. Y. Takaki and M. Yokouchi, “Speckle-free and grayscale hologram reconstruction using time-multiplexing technique,” Opt. Express19, 7567–7579 (2011). [CrossRef] [PubMed]
  2. C. S. Seelamantula, N. Pavillon, C. Depeursinge, and M. Unser, “Exact complex-wave reconstruction in digital holography,” J. Opt. Soc. Am. A28, 983–992 (2011). [CrossRef]
  3. U. Schnars and W.P. Jüptner, “Digital recording and numerical reconstruction of hologram,” Meas. Sci. Technol.13, 85–101 (2002). [CrossRef]
  4. C. P. McElhinney, J. B. McDonald, A. Castro, Y. Frauel, B. Javidi, and T. J. Naughton, “Depth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital holograms,” Opt. Lett.32, 1229–1231 (2007). [CrossRef] [PubMed]
  5. C. McElhinney, B. M. Hennelly, L. Ahrenberg, and T. J. Naughton, “Removing the twin image in digital holography by segmented filtering of in-focus twin image,” in Optics and Photonics for Information, Proc. SPIE 7072, 707208 (2008).
  6. D. P. Kelly, D. S. Monaghan, N. Pandey, T. Kozacki, A. Michalkiewicz, G. Finke, B. M. Hennelly, and M. Kujawinska, “Digital holographic capture and optoelectronic reconstruction for 3D displays,” Int. J. Digital Multimedia Broadcasting2010, 1–14 (2010). [CrossRef]
  7. G. Koren, F. Polack, and D. Joyeux, “Iterative algorithms for twin-image elimination in in-line holography using finite-support constraints,” J. Opt. Soc. Am. A10, 423–433 (1993). [CrossRef]
  8. L Denis, C Fournier, T Fournel, and C Ducotter, “Numerical suppression of the twin image in in-line holography of a volume of micro-objects,” Meas. Sci. Technol.19, 1–10 (2008). [CrossRef]
  9. B. S. Monaghan, D. P. Kelly, N. Pandey, and B. M. Hennelly, “Twin removal in digital holography using diffuse illumination,” Opt. Lett.34, 3610–3612 (2009). [CrossRef] [PubMed]
  10. D. S. Monaghan, D. P. Kelly, N. Pandey, and B. M. Hennelly, “Twin suppression in digital holography by mean of speckle reduction,” In Proceedings China-Ireland International Conference on Information and Communications Technologies, (Kildare, Ireland, 2009), 237–240.
  11. J. Schwider, “Phase shifting interferometry: reference phase error reduction,” Appl. Opt.28, 3889–3892 (1989). [CrossRef] [PubMed]
  12. J. Hahn, H. Kim, S. Cho, and B. Lee, “Phase-shifting interferometry with genetic algorithm-based twin image noise elimination,” Appl. Opt.47, 4068–4076 (2008). [CrossRef] [PubMed]
  13. T. Kozacki, M. Kujawińska, G. Finke, W. Zaperty, and B. Hennelly, “Holographic capture and display systems in circular configurations,” J. Disp. Technol.8, 225–232 (2012). [CrossRef]
  14. V. L. Tuft, HoloVision 2.2 User’s manual ( http://www2.edge.no/projects/holovision/doc/holovision221manual.pdf , 2001). [PubMed]
  15. H. Cho, J.K. Woo, D. Kim, S. Shin, and Y. Yu, “DC suppression in-line digital holographic microscopes on the basis of an intensity-averaging method using variable pixel numbers,” Opt. & Laser Tech.41, 741–725 (2009). [CrossRef] [PubMed]
  16. J. Maycock, B. M. Hennelly, J. B. McDonald, Y. Frauel, A. Castro, B. Javidi, and T. J. Naughton, “Reduction of speckle in digital holography by discrete Fourier filtering,” J. Opt. Soc. Am. A24, 1617–1622 (2007). [CrossRef]
  17. C. Tomasi and R. Manduchi, “Bilateral filtering for gray and color images,” in Proceedings of 6th IEEE International Conference on Computer Vision (IEEE, 1998), 839–846.
  18. J. C. Dainty and W. T. Welford, “Reduction of speckle in image plane hologram reconstruction by moving pupils,” Opt. Commun.3, 289–294 (1971). [CrossRef]
  19. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3rd ed. (Pearson, 2010).
  20. J. V. Stone, Independent Component Analysis (MIT Press, 2004).
  21. F. Abrard and Y. Deville, “A time-frequency blind signal separation method applicable to underdetermined mixtures of dependent sources,” Signal Processing85, 1389–1403 (2005). [CrossRef]
  22. T. K. Moon, Mathematical Methods and Algorithms for Signal Processing (Prentice hall, 2009).

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