Skip to main content

Auto Exposure Control for Multiple-Slope Cameras

  • Conference paper
Image Analysis and Recognition (ICIAR 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5112))

Included in the following conference series:

Abstract

The dynamic range of natural scenes usually exceeds the dynamic range of imaging sensors by several orders of magnitude. To overcome information loss multiple-slope cameras allow acquisition of images at extended dynamic ranges. However the response curve still has to be adapted to the scene. We present a new auto exposure control for multiple-slope cameras. The proposed method derives an optimum response curve in terms of recorded information. It considers dynamic range expansion as well as the resulting coarsening of quantization. We evaluated our method by simulation and implementation for an actual multiple-slope camera.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. HDRsoft SARL (publisher): HDR images in photography - About Dynamic Range, Tone Mapping and HDR Imaging for Photography (2007)

    Google Scholar 

  2. Schulz, S., Grimm, M., Grigat, R.R.: Using brightness histogram to perform optimum auto exposure. WSEAS Transactions on Systems and Control 2, 93–100 (2007)

    Google Scholar 

  3. Burghartz, J.N., Graf, H.G., Harendt, C., Klingler, W., Richter, H., Strobel, M.: HDR CMOS imagers and their applications. In: 8th International Conference on Solid-State and Integrated Circuit Technology, pp. 528–531 (2006)

    Google Scholar 

  4. Sasaki, M., Mase, M., Kawahito, S., Tadokoro, Y.: A wide-dynamic-range CMOS image sensor based on multiple short exposure-time readout with multiple-resolution column-parallel ADC. Sensors Journal, IEEE 7(1), 151–158 (2007)

    Article  Google Scholar 

  5. Dierks, F.: Sensitivity and image quality of digital cameras. Technical report, Basler AG (2004)

    Google Scholar 

  6. EMVA (publisher): EMVA Standard 1288: Standard for Measurement and Presentation of Specifications for Machine Vision Sensors and Cameras. Technical report (2005), www.emva.org

  7. Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671–680 (1983)

    Article  MathSciNet  Google Scholar 

  8. Industrial Light & Magic (publisher): Technical Introduction to OpenEXR (2006)

    Google Scholar 

  9. Fattal, R., Lischinski, D., Werman, M.: Gradient domain high dynamic range compression. In: SIGGRAPH 2002: Proceedings of the 29th annual conference on Computer graphics and interactive techniques, pp. 249–256 (2002)

    Google Scholar 

  10. Shimizu, S., Kondo, T., Kohashi, T., Tsuruta, M., Komuro, T.: A new algorithm for exposure control based on fuzzy logic for video cameras. IEEE Transactions on Consumer Electronics 38(3), 617–624 (1992)

    Article  Google Scholar 

  11. Haruki, T., Kikuchi, K.: Video camera system using fuzzy logic. IEEE Transactions on Consumer Electronics 38(3), 624–634 (1992)

    Article  Google Scholar 

  12. Kuno, T., Sugiura, H., Matoba, N.: A new automatic exposure system for digital still cameras. IEEE Transactions on Consumer Electronics 44(1), 192–199 (1998)

    Article  Google Scholar 

  13. Lee, J.S., Jung, Y.Y., Kim, B.S., Ko, S.J.: An advanced video camera system with robust AF, AE, and AWB control. IEEE Transactions on Consumer Electronics 47(3), 694–699 (2001)

    Article  Google Scholar 

  14. Cho, M., Lee, S., Nam, B.D.: The fast auto exposure algorithm based on numerical analysis. In: Proc. of the SPIE Conf. on Sens., Cameras and Appl. for Digital Photography, vol. 2650, pp. 93–99 (1999)

    Google Scholar 

  15. Aggarwal, M., Ahuja, N.: Split aperture imaging for high dynamic range. Int. J. Comput. Vision 58(1), 7–17 (2004)

    Article  Google Scholar 

  16. Yamashita, T., Sugawara, M., Mitani, K., Okano, F.: Wide-dynamic-range camera using a novel optical beam splitting system. In: Proc. SPIE, vol. 4669, pp. 82–88 (2002)

    Google Scholar 

  17. Nayar, S.K., Mitsunaga, T.: High dynamic range imaging: Spatially varying pixel exposures. In: CVPR, pp. 1472–1479 (2000)

    Google Scholar 

  18. Debevec, P.E., Malik, J.: Recovering high dynamic range radiance maps from photographs. Computer Graphics 31, 369–378 (1997)

    Google Scholar 

  19. Brajovic, V., Kanade, T.: A sorting image sensor: An example of massively parallel intensity-to-time processing for low-latency computational sensors. In: Proc. of the IEEE International Conference on Robotics and Automation, pp. 1638–1643 (1996)

    Google Scholar 

  20. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn., pp. 29–32. Prentice-Hall, Englewood Cliffs (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Aurélio Campilho Mohamed Kamel

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gooßen, A., Rosenstiel, M., Schulz, S., Grigat, RR. (2008). Auto Exposure Control for Multiple-Slope Cameras. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-69812-8_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69811-1

  • Online ISBN: 978-3-540-69812-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics