OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 48, Iss. 2 — Jan. 10, 2009
  • pp: 183–188

Performance characterization of integral imaging systems based on human vision

Xiaorui Wang, Liyong He, and Qingfeng Bu  »View Author Affiliations


Applied Optics, Vol. 48, Issue 2, pp. 183-188 (2009)
http://dx.doi.org/10.1364/AO.48.000183


View Full Text Article

Enhanced HTML    Acrobat PDF (592 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

The perceptual contrast threshold (PCT) surface is proposed for characterizing the systematic performance of integral imaging (InI) systems. The method to determine the PCT surface of InI systems is presented first. The theoretical model of the PCT surface is then derived by considering the integral contribution of an InI system as well as the human visual system. Preliminary simulated results show that the PCT can correctly describe the InI properties related to the lateral resolution, contrast, depth distance, and their trade-off relationships, which can be used to compare the systematic performance of InI systems with different design parameters. To the best of our knowledge, this is the first study of the relationship of the resolvable InI contrast with the lateral resolution and the object depth.

© 2009 Optical Society of America

OCIS Codes
(100.6890) Image processing : Three-dimensional image processing
(110.2990) Imaging systems : Image formation theory
(110.4190) Imaging systems : Multiple imaging
(110.6880) Imaging systems : Three-dimensional image acquisition

ToC Category:
Imaging Systems

History
Original Manuscript: June 20, 2008
Revised Manuscript: October 24, 2008
Manuscript Accepted: November 20, 2008
Published: January 7, 2009

Virtual Issues
Vol. 4, Iss. 3 Virtual Journal for Biomedical Optics

Citation
Xiaorui Wang, Liyong He, and Qingfeng Bu, "Performance characterization of integral imaging systems based on human vision," Appl. Opt. 48, 183-188 (2009)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-48-2-183


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. H. Hoshino, F. Okano, H. Isono, and I. Yuyama, “Analysis of resolution limitation of integral photography,” J. Opt. Soc. Am. A 15, 2059-2065 (1998). [CrossRef]
  2. J.-S. Jang, F. Jin, and B. Javidi, “Three-dimensional integral imaging with large depth of focus by use of real and virtual image fields,” Opt. Lett. 28, 1421-1423 (2003). [CrossRef] [PubMed]
  3. J.-S. Jang and B. Javidi, “Three-dimensional integral imaging with improved resolution, view angle, and depth of focus using lenslets with non-uniform focal lengths and aperture sizes,” Proc. SPIE 5202, 12-20 (2003). [CrossRef]
  4. R. H. Vollmerhausen, E. L. Jacobs, and R. G. Driggers, “New metric for predicting target acquisition performance,” Opt. Eng. 43, 2806-2818 (2004). [CrossRef]
  5. P. Bijl, M. A. Hogervorst, and J. M. Valeton, “TOD, NVTherm and TRM3 model calculations: a comparison,” Proc. SPIE 4719, 51-62 (2002). [CrossRef]
  6. R. G. Driggers, E. L. Jacobs, R. H. Vollmerhausen, B. O'Kane, M. Self, and S. Moyer, “Current infrared target acquisition approach for military sensor design and wargaming,” Proc. SPIE 6207, 620709 (2006). [CrossRef]
  7. B. Lee, S.-W. Min, and B. Javidi, “Theoretical analysis for three-dimensional integral imaging systems with double devices,” Appl. Opt. 41, 4856-4864 (2002). [CrossRef] [PubMed]
  8. G. C. Holst, Electro-Optical Imaging System Performance, 3rd ed. (SPIE, 2003), pp 90-98.
  9. O. Hadar and G. D. Boreman, “Over-sampling requirements for pixilated-imager systems,” Opt. Eng. 38, 782-785(1999). [CrossRef]
  10. F. Okano, J. Arai, and M. Kawakita, “Wave optical analysis of integral method for three-dimensional images,” Opt. Lett. 32, 364-366 (2007). [CrossRef] [PubMed]
  11. E. Peli, L. Arend, and A. T. Labianca, “Contrast perception across changes in luminance and spatial frequency,” J. Opt. Soc. Am. A 13, 1953-1959 (1996). [CrossRef]
  12. E. Peli, “Contrast sensitivity function and image discrimination,” J. Opt. Soc. Am. A 18, 283-293 (2001). [CrossRef]
  13. P. Barten, “The SQRI as a measure for VDU image quality,” SID Int. Symp. Digest Tech. Papers 23, 867-870 (1992).
  14. G. C. Holst, Electro-Optical Imaging System Performance, 3rd ed. (SPIE, 2003), pp 117-118.
  15. A. Stern and B. Javidi, “Information capability gain by time-division multiplexing in three-dimensional integral imaging,” Opt. Lett. 30, 1135-1137 (2005). [CrossRef] [PubMed]
  16. X. Wang and H. Hua, “Theoretical analysis for integral imaging performance based on micro-scanning of a micro-lens array,” Opt. Lett. 33, 449-451 (2008). [CrossRef] [PubMed]
  17. J. Arai, H. Kawai, and F. Okano, “Microlens arrays for integral imaging system,” Appl. Opt. 45, 9066-9078 (2006). [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.

Figures

Fig. 1 Fig. 2 Fig. 3
 
Fig. 4
 

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited