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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 3 — Jan. 20, 2010
  • pp: 343–349

Visual image quality assessment with sensor motion: effect of recording and presentation velocity

Piet Bijl  »View Author Affiliations


Applied Optics, Vol. 49, Issue 3, pp. 343-349 (2010)
http://dx.doi.org/10.1364/AO.49.000343


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Abstract

To assess the effect of motion on observer performance with an undersampled uncooled thermal imager, moving imagery from a static scene was recorded at nine different angular velocities ranging from 0 (static) to 1 pixel/frame by use of a tilted rotating mirror. The scene contained a thermal acuity test chart with triangular test patterns based on the triangle orientation discrimination test method. Visual acuity with the sensor was determined in two playback modes: normal speed and slow motion. In both playback conditions, a slow angular velocity of the test pattern over the sensor focal plane (up to 0.25   pixel / frame ) results in a large acuity increase ( + 50 % ) in comparison with the static condition because the observer is able to utilize more phases of the same test pattern. At higher sensor velocities the benefit rapidly decreases due to sensor smear, and above 0.50   pixel / frame the difference with the static condition is marginal. Up to 0.75   pixel / frame , the results for the two playback conditions are similar, indicating that temporal display characteristics and human dynamic acuity are not responsible for the reduction. The results obtained with this laboratory test method correspond well with earlier perception studies on real targets for low and medium camera motion.

© 2010 Optical Society of America

OCIS Codes
(110.3000) Imaging systems : Image quality assessment
(110.3080) Imaging systems : Infrared imaging
(330.1070) Vision, color, and visual optics : Vision - acuity

ToC Category:
Imaging Systems

History
Original Manuscript: July 29, 2009
Revised Manuscript: November 25, 2009
Manuscript Accepted: November 26, 2009
Published: January 12, 2010

Virtual Issues
Vol. 5, Iss. 3 Virtual Journal for Biomedical Optics

Citation
Piet Bijl, "Visual image quality assessment with sensor motion: effect of recording and presentation velocity," Appl. Opt. 49, 343-349 (2010)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-49-3-343


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References

  1. R. G. Driggers, K. Krapels, S. Murrill, S. S. Young, M. Thielke, and J. Schuler, “Superresolution performance for undersampled imagers,” Opt. Eng. 44, 014001 (2004).
  2. K. Krapels, R. G. Driggers, and B. Teaney, “Target-acquisition performance in undersampled infrared imagers: static imagery to motion video,” Appl. Opt. 44, 7055-7061 (2005). [CrossRef]
  3. P. Bijl, K. Schutte, and M. A. Hogervorst, “Applicability of TOD, MRT, DMRT and MTDP for dynamic image enhancement techniques,” Proc SPIE 6207, 154-165 (2006).
  4. S. C. Park, M. K. Park, and M. G. Kang, “Super-resolution image reconstruction: a technical overview,” IEEE Signal Process. Mag. 20, 21-36 (2003).
  5. K. Schutte, D. J. de Lange, and S. P. van den Broek, “Signal conditioning algorithms for enhanced tactical sensor imagery,” Proc SPIE 5076, 92-100 (2003).
  6. S. S. Young and R. G. Driggers, “Super-resolution image reconstruction from a sequence of aliased imagery,” Proc SPIE 5784, 51-62 (2005).
  7. K. Krapels, R. G. Driggers, E. Jacobs, S. Burks, and S. Young, “Characteristics of infrared imaging systems that benefit from superresolution reconstruction,” Appl. Opt. 46, 4594-4603(2007). [CrossRef]
  8. G. Holst, “Imaging system performance based upon /d,” Opt. Eng. 46, 103204 (2007).
  9. E. Jacobs and R. G. Driggers, “NVThermIP modeling of super-resolution algorithms,” Proc SPIE 5784, 125-135 (2005).
  10. M. A. Hogervorst, A. Toet, and P. Bijl, “The TOD method for dynamic image quality assessment.,” Report TNO-DV 2006 C423 (TNO Defense, Security, and Safety, Soesterberg, The Netherlands, 2006).
  11. J. Fanning, J. Miller, J. Park, G. Tener, J. Reynolds, P. O'Shea, C. Halford, and R. Driggers, “IR system field performance with superresolution,” Proc SPIE 6543, 65430Z (2007).
  12. P. Bijl and J. M. Valeton, “TOD, the alternative to MRTD and MRC,” Opt. Eng. 37, 1976-1983 (1998).
  13. J. Fanning and J. Reynolds, “Target identification performance of superresolution versus dither,” Proc SPIE 6941, 69410N (2008).
  14. J. A. Beintema, P. Bijl, M. A. Hogervorst, and J. Dijk, “Target acquisition performance: effects of target aspect angle, dynamic imaging and signal processing,” Proc SPIE 6941, 69410C (2008).
  15. J. E. Bos, M. A. Hogervorst, K. Munnoch, and D. Perrault, “Human performance at sea assessed by dynamic visual acuity,” in Proceedings of the Pacific 2008 International Maritime Conference (Arinex, 2008).
  16. P. Bijl and J. M. Valeton, “Validation of the new TOD method and ACQUIRE model predictions using observer performance data for ship targets,” Opt. Eng. 37, 1984-1994 (1998).
  17. P. Bijl, J. M. Valeton, and A. N. de Jong, “TOD predicts target acquisition performance for staring and scanning thermal imagers,” Proc SPIE 4030, 96-103 (2000).
  18. P. Bijl, M. A. Hogervorst, and A. Toet, “Identification of military targets and simple laboratory test patterns in band-limited noise,” Proc. SPIE 5407, 104-115 (2004).
  19. P. Bijl and J. M. Valeton, “Guidelines for accurate TOD measurement.,” Proc SPIE 3701, 14-25 (1999).
  20. J. M. Valeton, P. Bijl, E. Agterhuis, and S. Kriekaard, “T-CAT, a new thermal camera acuity tester,” Proc. SPIE 4030, 232-238(2000).
  21. P. Bijl, M. A. Hogervorst, J. M. Valeton, and C. J. de Ruiter, “BAXSTER: an image quality tester for x-ray baggage screening systems,” Proc. SPIE 5071, 341-352 (2003).
  22. D. J. De Lange, J. M. Valeton, and P. Bijl, “Automatic characterization of electro-optical sensors with image-processing, using the triangle orientation discrimination (TOD) method,” Proc. SPIE 3701, 104-111 (2000).
  23. M. A. Hogervorst, P. Bijl, and J. M. Valeton, “Capturing the sampling effects: a TOD sensor performance model,” Proc. SPIE 4372, 62-73 (2001).
  24. A. W. M. van Eekeren, K. Schutte, O. R. Oudegeest, and L. J. van Vliet, “Performance evaluation of super-resolution reconstruction methods on real-world data,” EURASIP J. Adv. Signal Process. 2007, 43953 (2007).
  25. W. A. Wagenaar, “Note on the construction of diagram-balanced Latin squares,” Psychol. Bull. 72, 384-386 (1969).
  26. E. Ludvigh and J. W. Miller, “Study of visual acuity during the ocular pursuit of moving test objects. I. Introduction,” J. Opt. Soc. Am. 48, 799-802 (1958). [CrossRef]
  27. J. L. Demer and F. Amjadi, “Dynamic visual acuity of normal subjects during vertical optotype and head motion.,” Invest. Ophthalmol. Visual Sci. 34, 1894-1906 (1993).
  28. V. M. Reading, “Visual resolution as measured by dynamic and static tests.,” Pjlugers Arch. 333, 17-26 (1972).
  29. M. A. Hogervorst, P. Bijl, and J. M. Valeton, “Visual sensitivity to different test patterns used in system/human performance tests.,” Report TNO-TM-02-B007 (TNO Human Factors, Soesterberg, The Netherlands, 2002).
  30. P. Bijl, J. M. Valeton, and M. A. Hogervorst, “A critical evaluation of test patterns for EO system characterization.,” Proc. SPIE 4372, 27-38 (2001). [CrossRef]
  31. ITU standard G.1070: opinion model for video-telephony applications (International Telecommunication Union, Geneva, Switzerland, 2007).

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