Nothing Special   »   [go: up one dir, main page]

skip to main content
article

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

Published: 01 December 2003 Publication History

Abstract

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.

References

[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]
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]
Debevec P, Malik J (1997) Recovering high dynamic range radiance maps from photographs. In: Proc SIGGRAPH '97, August 1997, pp 369---378
[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]
Fattal R, Lischinski D, Werman M (2002) Gradient domain high dynamic range compression. In: Proc SIGGRAPH 2002, July 2002, pp 249---256
[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]
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
[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]
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]
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]
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]
Rahman Z, Jobson DJ, Woodell GA (1996) Multi-scale retinex for color image enhancement. In: Proc Int Conf Image Process 4:1003---1006
[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]
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]
Tumblin J, Rushmeier H (1993) Tone reproduction for computer generated images. IEEE Comput Graph Appl 13(6): 42---48
[16]
Tumblin J, Hodgins JK, Guenter B (1999) Two methods for display of high contrast images. ACM Trans Graph 18(1):56---94
[17]
Tumblin J, Turk G (1999) LCIS: a boundary hierarchy for detail-preserving contrast reduction. In: Proc SIGGRAPH '99, pp 83---90
[18]
Ward G (1994) A contrast-based scale factor for luminance display. In: Graphics Gems IV, pp 415---421
[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

Cited By

View all
  1. Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image The Visual Computer: International Journal of Computer Graphics
    The Visual Computer: International Journal of Computer Graphics  Volume 19, Issue 7-8
    December 2003
    170 pages

    Publisher

    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 01 December 2003

    Author Tags

    1. Biological modeling
    2. Image processing
    3. Image segmentation
    4. Signal processing
    5. Tone reproduction operator

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 25 Nov 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2022)Haar Wavelet-Based Fusion of Multiple Exposure Images for High Dynamic Range ImagingSN Computer Science10.1007/s42979-021-01010-y3:2Online publication date: 12-Jan-2022
    • (2018)A bio-inspired synergistic virtual retina model for tone mappingComputer Vision and Image Understanding10.1016/j.cviu.2017.11.013168:C(21-36)Online publication date: 1-Mar-2018
    • (2017)A comparative review of tone-mapping algorithms for high dynamic range videoComputer Graphics Forum10.1111/cgf.1314836:2(565-592)Online publication date: 1-May-2017
    • (2012)Dynamic range compression by differential zone mapping based on psychophysical experimentsProceedings of the ACM Symposium on Applied Perception10.1145/2338676.2338685(39-46)Online publication date: 3-Aug-2012
    • (2006)Inverse tone mappingProceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia10.1145/1174429.1174489(349-356)Online publication date: 29-Nov-2006
    • (2005)Perceptually based tone mapping of high dynamic range image streamsProceedings of the Sixteenth Eurographics conference on Rendering Techniques10.5555/2383654.2383687(231-242)Online publication date: 29-Jun-2005
    • (2005)Tone Reproduction: A Perspective from Luminance-Driven Perceptual GroupingInternational Journal of Computer Vision10.1007/s11263-005-3846-z65:1-2(73-96)Online publication date: 1-Nov-2005
    • (2005)High Dynamic Range ImagingundefinedOnline publication date: 24-Aug-2005

    View Options

    View options

    Login options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media