Skip to main content

Improvement and Evaluation of Real-Time Tone Mapping for High Dynamic Range Images Using Gaze Information

  • Conference paper
Computer Vision – ACCV 2010 Workshops (ACCV 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6468))

Included in the following conference series:

Abstract

Using gaze information in designing tone-mapping operators has many potentials over traditional global tone-mapping operators. In this paper, we evaluate a recently proposed real-time tone mapping operator based on gaze information and show that it is highly dependent on the input scene. We propose an important modification to the evaluated method to relief this dependency and to enhance the appearance of the resultant images using smaller processing area. Experimental results show that our method outperforms the evaluated technique.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Devlin, K.: A review of tone reproduction techniques. Technical Rep CSTR-02-005 Department of Computer Science University of Bristol (2002)

    Google Scholar 

  2. Mikami, T., Hirai, K., Nakaguchi, T., Tsumura, N.: Real-time tone-mapping of high dynamic range image using gazing area information. In: Proc. International Conference on Computer and Information (2010)

    Google Scholar 

  3. Miyata, K., Saito, N., Tsumura, N., Haneishi, H., Miyake, Y.: Eye movement analysis and its application to evaluation of image quality IS&T/SID’s. In: 5th Color Imaging Conference Color Science Systems and Applications, pp. 116–119 (2009)

    Google Scholar 

  4. Rahardja, S., Farbiz, F., Manders, C., Zhiyong, H., Ling, J.N., Khan, I.R., Ping, O.E., Peng, S.: Eye HDR: gaze-adaptive system for displaying high-dynamic-range images. In: ACM SIGGRAPH ASIA 2009 Art Gallery & Emerging Technologies, pp. 68–68 (2009)

    Google Scholar 

  5. Reinhard, E., Stark, M., Shirley, P., Ferwerda, J.: Photographic tone reproduction for digital images. ACM Transactions on Graphics 21(3), 267–276 (2002)

    Article  Google Scholar 

  6. Reinhard, E., Ward, G., Pattanaik, S., Debevec, P.: High Dynamic Range Imaging, p. 520. Morgan Kaufmann, San Francisco (2006)

    Google Scholar 

  7. Thurstone, L.: A law of comparative judgment. Psychological Review (8) (1927)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yamauchi, T., Mikami, T., Ouda, O., Nakaguchi, T., Tsumura, N. (2011). Improvement and Evaluation of Real-Time Tone Mapping for High Dynamic Range Images Using Gaze Information. In: Koch, R., Huang, F. (eds) Computer Vision – ACCV 2010 Workshops. ACCV 2010. Lecture Notes in Computer Science, vol 6468. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22822-3_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22822-3_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22821-6

  • Online ISBN: 978-3-642-22822-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics