OSA's Digital Library

Applied Optics

Applied Optics


  • Vol. 42, Iss. 35 — Dec. 10, 2003
  • pp: 7036–7042

Three-dimensional image sensing and reconstruction with time-division multiplexed computational integral imaging

Adrian Stern and Bahram Javidi  »View Author Affiliations

Applied Optics, Vol. 42, Issue 35, pp. 7036-7042 (2003)

View Full Text Article

Enhanced HTML    Acrobat PDF (834 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools



A method to compute high-resolution three-dimensional images based on integral imaging is presented. A sequence of integral images (IIs) is captured by means of time-division multiplexing with a moving lenslet array technique. For the acquisition of each II, the location of the lenslet array is shifted periodically within the lenslet pitch in a plane perpendicular to the optical axis. The II sequence obtained by the detector array is processed digitally with superresolution reconstruction algorithms to obtain a reconstructed image, appropriate to a viewing direction, which has a spatial resolution beyond the optical limitation.

© 2003 Optical Society of America

OCIS Codes
(100.3020) Image processing : Image reconstruction-restoration
(100.6640) Image processing : Superresolution
(100.6890) Image processing : Three-dimensional image processing
(110.4190) Imaging systems : Multiple imaging
(110.6880) Imaging systems : Three-dimensional image acquisition

Original Manuscript: March 26, 2003
Revised Manuscript: July 16, 2003
Published: December 10, 2003

Adrian Stern and Bahram Javidi, "Three-dimensional image sensing and reconstruction with time-division multiplexed computational integral imaging," Appl. Opt. 42, 7036-7042 (2003)

Sort:  Author  |  Year  |  Journal  |  Reset  


  1. T. Okoshii, “Three-dimensional displays,” Proc. IEEE 68, 548–564 (1980). [CrossRef]
  2. H. Arimoto, B. Javidi, “Integral three-dimensional imaging with computed reconstruction,” Opt. Lett. 26, 157–159 (2001). [CrossRef]
  3. F. Okano, H. Hoshino, J. Arai, I. Yuyama, “Real-time pickup method for a three-dimensional image based on integral photography,” Appl. Opt. 36, 1598–1603 (1997). [CrossRef] [PubMed]
  4. J. Arai, F. Okano, H. Hoshino, I. Yuyama, “Gradient-index lens-array method based on real-time integral photography for three-dimensional images,” Appl. Opt. 37, 2034–2045 (1998). [CrossRef]
  5. T. Naemura, T. Yoshida, H. Harashima, “3-D computer graphics based on integral photography,” Opt. Exp. 8, 255–262 (2001), http://www.opticsexpress.org . [CrossRef]
  6. J. S. Jang, B. Javidi, “Improved viewing resolution of three-dimensional integral imaging by use of nonstationary micro-optics,” Opt. Lett. 27, 324–326 (2002). [CrossRef]
  7. J. S. Jang, B. Javidi, “Three-dimensional synthetic aperture integral imaging,” Opt. Lett. 27, 1144–1146 (2002). [CrossRef]
  8. Y. Frauel, B. Javidi, “Digital three-dimensional image correlation by use of computer-reconstructed integral imaging,” Appl. Opt. 41, 5488–5496 (2002). [CrossRef] [PubMed]
  9. C. B. Burckhardt, “Optimum parameters and resolution limitation of integral photography,” J. Opt. Soc. Am. A 58, 71–76 (1968). [CrossRef]
  10. T. Okoshi, “Optimum design and depth resolution of lens-sheet and projection-type three-dimensional displays,” Appl. Opt. 10, 2284–2291 (1971). [CrossRef] [PubMed]
  11. H. Hoshino, F. Okano, H. Isono, I. Yuyama, “Analysis of resolution limitation of integral photography,” J. Opt. Soc. Am. A 15, 2059–2065 (1998). [CrossRef]
  12. M. Elad, A. Feuer, “Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images,” IEEE Trans. Image Process. 6, 1646–1658 (1997). [CrossRef] [PubMed]
  13. A. Stern, E. Kempner, A. Shukrun, N. S. Kopeika, “Restoration and resolution enhancement of a single image from a vibration distorted image sequence,” Opt. Eng. 39, 2451–2457 (2000). [CrossRef]
  14. A. Stern, Y. Porat, A. Ben-Dor, N. S. Kopeika, “Enhanced-resolution image restoration from a sequence of low-frequency vibrated images by use of convex projections,” Appl. Opt. 40, 4706–4715 (2001). [CrossRef]
  15. A. Irani, S. Peleg, “Improving resolution by image registration,” CVGIP: Graph. Models Image Process 53, 231–239 (1991). [CrossRef]
  16. A. Irani, S. Peleg, “Motion analysis for image enhancement: resolution, occlusion, and transparency,” J. Visual Commun. Image Represent. 4, 324–335 (1993). [CrossRef]
  17. B. Cohen, I. Dinstein, “Polyphase back-projection filtering for image resolution enhancement,” IEE Proc. Vision Image Signal Process. 147, 318–322 (2000). [CrossRef]
  18. R. L. Lagendijk, Iterative Identification and Restoration of Images (Kluwer Academic, Dordrecht, The Netherlands, 1991). [CrossRef]
  19. B. E. A. Saleh, M. C. Teich, Fundamentals of Photonics (Wiley, New York, 1991). [CrossRef]
  20. Z. Zalevsky, D. Mendlovic, A. W. Lohmann, “Understanding superesolution in Wigner space,” J. Opt. Soc. Am. A 17, 2422–2430 (2000). [CrossRef]
  21. A. K. Jain, Fundamentals of Digital Image Processing (Prentice-Hall, Englewood Cliffs, N.J., 1989).

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