Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images


Realistic display of high-dynamic range images is a difficult problem. Previous methods for high-dynamic range image display suffer from halo artifacts or are computationally expensive. We present a novel method for computing local adaptation luminance that can be used with several different visual adaptation-based tone-reproduction operators for displaying visually accurate high-dynamic range images. The method uses fast image segmentation, grouping, and graph operations to generate local adaptation luminance. Results on several images show excellent dynamic range compression, while preserving detail without the presence of halo artifacts. With adaptive assimilation, the method can be configured to bring out a high-dynamic range appearance in the display image. The method is efficient in terms of processor and memory use.

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  1. 1.

    Ashikhmin M (2002) A tone mapping algorithm for high contrast images. In: Proc Eurographics Workshop on Rendering 2002, June 2002, pp 151–161

  2. 2.

    Chiu K, Herf M, Shirley P, Swamy S, Wang C, Zimmerman K (1993) Spatially nonuniform scaling functions for high contrast images. In: Proc Graphics Interface ’93, May 1993, pp 245–254

  3. 3.

    Debevec P, Malik J (1997) Recovering high dynamic range radiance maps from photographs. In: Proc SIGGRAPH ’97, August 1997, pp 369–378

  4. 4.

    Durand F, Dorsey J (2002) Fast bilateral filtering for the display of high dynamic range images. In: Proc SIGGRAPH 2002, July 2002, pp 257–268

  5. 5.

    Fattal R, Lischinski D, Werman M (2002) Gradient domain high dynamic range compression. In: Proc SIGGRAPH 2002, July 2002, pp 249–256

  6. 6.

    Fewerda JA, Pattanaik S, Shirley P, Greenberg DP (1996) A model of visual adaptation for realistic image synthesis. In: Proc SIGGRAPH ’96, August 1996, pp 249–258

  7. 7.

    McQueen J (1967) Some methods for classification and analysis of multivariate observations. In: Proc 5th Berkeley Symposium on Math. Stat and Prob 1:281–296

    Google Scholar 

  8. 8.

    Nayar SK, Mitsunaga T (2000) High dynamic range imaging: spatially varying pixel exposures. In: Proc IEEE Conference on Computer Vision and Pattern Recognition, June 2000

  9. 9.

    Pattanaik SN, Ferwerda JA, Fairchild MD, Greenberg DP (1998) A multiscale model of adaptation and spatial vision for realistic image display. In: Proc SIGGRAPH 98, July 1998, pp 287–298

  10. 10.

    Pattanaik SN, Tumblin JE, Yee H, Greenberg DP (2000) Time-dependent visual adaptation for fast realistic image display. In: Proc SIGGRAPH 2000, July 2000, pp 47–54

  11. 11.

    Pattanaik SN, Yee H (2002) Adaptive gain control for high dynamic range image display. In: Proc Spring Conference in Computer Graphics (SCCG2002), April 2002, pp 83–88

  12. 12.

    Rahman Z, Jobson DJ, Woodell GA (1996) Multi-scale retinex for color image enhancement. In: Proc Int Conf Image Process 4:1003–1006

  13. 13.

    Reinhard E, Stark M, Shirley P, Ferwerda J (2002) Photographic tone reproduction for digital images. In: Proc SIGGRAPH 2002, July 2002, pp 267–276

  14. 14.

    Schlick C (1995) Quantization techniques for visualization of high dynamic range pictures. In: Photorealistic rendering techniques, Proc 5th Eurographics Rendering Workshop, pp 7–20

  15. 15.

    Tumblin J, Rushmeier H (1993) Tone reproduction for computer generated images. IEEE Comput Graph Appl 13(6): 42–48

    Article  Google Scholar 

  16. 16.

    Tumblin J, Hodgins JK, Guenter B (1999) Two methods for display of high contrast images. ACM Trans Graph 18(1):56–94

    Article  Google Scholar 

  17. 17.

    Tumblin J, Turk G (1999) LCIS: a boundary hierarchy for detail-preserving contrast reduction. In: Proc SIGGRAPH ’99, pp 83–90

  18. 18.

    Ward G (1994) A contrast-based scale factor for luminance display. In: Graphics Gems IV, pp 415–421

  19. 19.

    Larson GW, Rushmeier H, Piatko C (1997) A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Trans Visual Comput Graph 3(4):291–306

    Article  Google Scholar 

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Correspondence to Yangli Hector Yee .

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Yee , Y., Pattanaik , S. Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images. Vis Comput 19, 457–466 (2003).

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  • Image processing
  • Image segmentation
  • Signal processing
  • Biological modeling
  • Tone reproduction operator