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http://dx.doi.org/10.5909/JBE.2009.14.4.428

An Adaptive Tone Reproduction for High Dynamic Range Image  

Lee, Joo-Hyun (Dept. of Electronics and Computer Engineering, Hanyang University)
Jeon, Gwang-Gil (Dept. of Electronics and Computer Engineering, Hanyang University)
Jeon, Je-Chang (Dept. of Electronics and Computer Engineering, Hanyang University)
Publication Information
Journal of Broadcast Engineering / v.14, no.4, 2009 , pp. 428-437 More about this Journal
Abstract
A high dynamic range (HDR) image can represent real world scenes that have a wide range of luminance intensity. However, compared with the range of real world luminance, conventional display devices have a low dynamic range (LDR). To display HDR images onto conventional displayable devices such as monitors and printers, we propose the logarithmic based global reproduction algorithm that considers the features of the image using reproduction parameters. Based on the characteristics of the image, we first modify the input luminance values for reproducing perceptually tuned images and then obtain the displayable output values directly. The experimental results show that the proposed algorithm achieves good subjective results while preserving details of the image; furthermore, the proposed algorithm has a fast, simple and practical structure for implementation.
Keywords
High dynamic range imaging; tone mapping; tone reproduction;
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1 L. Meylan and S. Süsstrunk, “High dynamic range image rendering with a retinex-base adaptive filter,” IEEE Trans. Image Processing, vol. 15, no. 9, pp. 2802–2830, Sept. 2006   DOI   ScienceOn
2 A. Pardo and G. Sapiro, “Visualization of high dynamic range images,” IEEE Trans. Image Processing, vol. 12, no. 6, pp. 639-647, June 2003   DOI   ScienceOn
3 J. A. Ferwerda, S. Pattanaik, P. Shirley, and D. P. Greenberg, “A model of visual adaptation for realistic image synthesis,” in Proc. SIGGRAPH, pp. 249–258, Aug. 1996
4 F. Drago, K. Myszkowski, T. Annen, and N. Chiba, “Adaptive logarithmic mapping for displaying high contrast scenes,” Computer Graphics Forum, vol. 22, no. 3, 2003   DOI   ScienceOn
5 E. Reinhard, “Parameter estimation for photographic tone reproduction,” Journal of Graphics Tools, vol. 7, no. 1, pp. 45–51, 2003   DOI   ScienceOn
6 M. Ashikhmin, “A tone mapping algorithm for high contrast images,” in Proc. Eurographics Workshop on Rendering, pp. 145 – 155, 2002
7 G. Ward, H. Rushmeier, and C. Piatko, “A visibility matching tone reproduction operator for high dynamic range scenes,” IEEE Trans. Visualization and computer Graphics, vol. 3, no. 4, pp. 291–306, Oct. 1997   DOI   ScienceOn
8 E. Reinhard, G. Ward, S. Pattanaik, and P. Debevec, High dynamic range imaging: acquisition, display, and image-based lighting, Morgan Kaufmann, 2005
9 S. N. Pattanaik, J. A. Ferwerda, M. D. Fairchild, and D. P. Greenberg, “A multiscale model of adaptation and spatial vision for realistic image display,” in proc. SIGGRAPH, pp. 287–298, July 1998   DOI
10 P.E. Debevec and J. Malik, “Recovering high dynamic range radiance maps from photographs,” in Proc. SIG GRAPH, pp. 369-378, Aug. 1997
11 J. Tumblin, J. K. Hodgins, and B. K. Guenter, “Two methods for display of high contrast images,” ACM Trans. on Graphics, vol. 18, no. 1, pp. 56–94, 1999   DOI
12 S. Battiato, A. Castorina, and M. Mancuso, “High dynamic range imaging for digital still camera: an overview,” Journal of Electronic Imaging, vol. 12, no. 3, pp. 459–469, July 2003   DOI   ScienceOn
13 S. N. Pattanaik, J. Tumblin, H. Yee, and D. P. Greenberg, “Time dependent visual adaptation for fast realistic display,” in proc. SIGGRAPH, pp. 47–54, July 2000   DOI
14 ITU-R Recommendation BT.709, Basic parameter values for the HDTV standard for the studio and for international program exchange, Technical Report BT.709, ITU, 1990
15 Y. H. Yee and S. Pattanaik, "Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images," The Visual Computer, vol. 19, no. 7–8, pp. 457–466, Dec. 2003   DOI
16 J. Tumblin and H. Rushmeier, “Tone reproduction for computer generated images,” IEEE Computer Graphics and Applications, vol. 13, no. 6, pp. 42–48, Nov. 1993   DOI   ScienceOn
17 B. R. Lim, R. H. Park, and S. Kim, “High dynamic range for contrast enhancement,” IEEE Trans. Consumer Electronics, vol. 52, no. 4, pp. 1454–1462, Nov. 2006   DOI   ScienceOn
18 J. Tumblin and H. Rushmeier, “Tone reproduction for realistic images,” IEEE Computer Graphics and Applications, vol. 13, pp. 42-48, 1993   DOI   ScienceOn
19 E. Reinhard, M. Stark, P. Shirley, and J. Ferwerda, “Photographic tone reproduction for digital images,” ACM Trans. on Graphics, vol. 21, no. 3, pp. 267–276, 2002   DOI   ScienceOn
20 K. Chiu, M. Herf, P. Shirley, S. Swamy, C. Wang, and K. Zimmerman, “Spatially nonuniform scaling functions for high contrast images,” in Proc. graphics Interface, pp. 245–253, 1993
21 G. Ward, H. Rushmeier, and C. Piatko, “A visibility matching tone reproduction operator for high dynamic range scenes,” IEEE Trans. on Visualization and Computer Graphics, vol. 3, no. 4, 1997   DOI   ScienceOn