Advertisement

Fast HDR Image Generation Technique Based on Exposure Blending

  • Andrey Vavilin
  • Kaushik Deb
  • Kang-Hyun Jo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6098)

Abstract

In the proposed work a method for generating HDR images based on exposure blending is described. Using three differently exposed images a single image with recovered details in shadows and highlights is generated. Input images are analyzed to locate over and underexposed regions based on pixels intensity. Local contrast of input images is also considered in order to generate the output image with correct color transactions between differently exposed areas. Then images are merged using blending function. The proposed method requires a single pass thru the image to generate the result, which allows to process one image for less than 100 milliseconds. The proposed method requires no information about camera or shutting conditions, such as shutter speed or aperture size.

Keywords

HDR images exposure blending bilateral filtering box blur 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Chiu, K., Herf, M., Shirley, P., Swamy, S., Wang, C., Zimmerman, K.: Spatially Nonunifrom Scaling Functions for High Contrast Images. In: Proceedings of Graphics Interface 1993, pp. 245–254 (1993)Google Scholar
  2. 2.
    Ferwerda, J., Pattanaik, S.N., Shirley, P., Greenberg, D.P.: A Model of Visual Adaptation for Realistic Image Synthesis. In: Proceedings of SIGGRAPH 1996, pp. 249–258 (1996)Google Scholar
  3. 3.
    Qiu, G., Guan, J., Duan, J., Chen, M.: Tone Mapping for HDR Image using Optimization – A New Closed Form Solution. In: Proceedings of the 18th International Conference on Pattern Recognition (2006)Google Scholar
  4. 4.
    Pattanaik, S.N., Ferwerda, J., Fairchild, M.D., Greenberg, D.P.: A Multiscale Model of Adaptation and Spatial Vision for Realistic Image Display. In: Proceedings of SIGGRAPH 1998, pp. 287–298. ACM, New York (1998)CrossRefGoogle Scholar
  5. 5.
    Pattanaik, S.N., Tumblin, J.E., Yee, H., Greenberg, D.P.: Time-Dependent Visual Adaptation for Realistic Real-Time Image Display. In: Proceedings of SIGGRAPH 2000, pp. 47–54 (2000)Google Scholar
  6. 6.
    Rahman, Z., Jobson, D.J., Woodell, G.A.: Multi-scale retinex for colour image enhancement. In: Proceedings of International Conference on Image Processing, Lausanne, Switzerland, September 16-19, vol. 3, pp. 1003–1006 (1996)Google Scholar
  7. 7.
    Tumblin, J., Hodgings, J.K., Guenter, B.: Two Methods for Display of High Contrast Images. ACM Transactions on Graphics 18(1), 56–94 (1999)CrossRefGoogle Scholar
  8. 8.
    Vavilin, A., Jo, K.-H.: Recursive HDR Image Generation from Differently Exposed Images. In: Proceedings of Graphicon 2008, Moscow, Russia, June 23-27, pp. 156–160 (2008)Google Scholar
  9. 9.
    Vavilin, A., Jo, K.-H.: Recursive HDR Image Generation from Differently Exposed Images. In: Proceedings of ICCAS 2008, Seoul, Korea, October 14-17 (2008)Google Scholar
  10. 10.
    Rovid, A., Varkonyi-Koczy, A.R., Hashimoto, T., Balogh, S., Shimodaira, Y.: Gradient Based Synthesized Multiple Exposure Time HDR Image. In: IMTC 2007, Warsaw, Poland, May 1-3 (2007)Google Scholar
  11. 11.
    Wang, T.-H., Ke, W.-M., Zwao, D.-C., Chen, F.-C., Chiu, C.-T.: Block-based Gradient Domain High Dynamic Range Compression Design for Real-time Applications. In: ICIP 2007 Proceedings, September 16 - October 19, vol. 3, pp. 561–564 (2007)Google Scholar
  12. 12.
    Mertens, T., Kautz, J., Reeth, F.: Exposure Fusion. In: Proceeding of 15th Pacific Conference on Computer Graphics and Applications, PG 2007, October 29 - November 2, pp. 382–390 (2007)Google Scholar
  13. 13.
    Vavilin, A., Jo, K.-H.: HDR Image Generation based on Intensity Clustering and Local Feature Analysis. In: ICIC 2009, Ulsan, Korea, September 16-19 (2009)Google Scholar
  14. 14.
    Vavilin, A., Jo, K.-H.: Graph-based Approach for Robust Road Guidance Sign Recognition from Differently Exposed Images. Journal of Universal Computer Science 15(4), 786–804 (2009)Google Scholar
  15. 15.
    Lukin, A.: Tips&Tricks: Fast Image Filtering Algorithms. In: Proceedings of Graphicon 2007, Moscow, Russia, June 23-27 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Andrey Vavilin
    • 1
  • Kaushik Deb
    • 1
  • Kang-Hyun Jo
    • 1
  1. 1.Dept. Electrical Engineering and Information SystemsUniversity of UlsanMugeo-dong, Nam-ku, UlsanKorea

Personalised recommendations