Abstract
The process of adapting the dynamic range of a real-world scene or a photograph in a controlled manner to suit the lower dynamic range of display devices is called tone mapping. In this paper, we present a novel local tone mapping technique for high-dynamic range (HDR) images taking texture and brightness as cues. We make use of bilateral filtering to obtain base and detail layer of the luminance component. In our proposed approach, we weight the base layer using local to global brightness ratio and texture estimator, and then combine it with the detail layer to get the tone mapped image. To see the difference in contrasts between the original HDR Image and the tone mapped image using our model, we make use of an online dynamic range (in)dependent metric. We present our results and compare it with other tone mapping algorithms and demonstrate that our model is better suited to compress the dynamic range of HDR images preserving visibility and information and with minimal artifacts.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
G. W. Larson, H. Rushmeier, and C. Piatko, “A visibility matching tone reproduction operator for high dynamic range scenes,” Visualization and Computer Graphics, IEEE Transactions on, vol. 3, no. 4, pp. 291–306, 1997.
P. E. Debevec and J. Malik, “Recovering high dynamic range radiance maps from photographs,” in ACM SIGGRAPH 2008 classes, p. 31, ACM, 2008.
S. Mann and R. Picard, Beingundigitalwith digital cameras. MIT Media Lab Perceptual, 1994.
S. K. Nayar and T. Mitsunaga, “High dynamic range imaging: Spatially varying pixel exposures,” in Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on, vol. 1, pp. 472–479, IEEE, 2000.
K. Devlin, “A review of tone reproduction techniques,” Computer Science, University of Bristol, Tech. Rep. CSTR-02-005, 2002.
F. Banterle, A. Artusi, K. Debattista, and A. Chalmers, advanced high dynamic range imaging: theory and practice. CRC Press, 2011.
E. Reinhard, M. Stark, P. Shirley, and J. Ferwerda, “Photographic tone reproduction for digital images,” in ACM Transactions on Graphics (TOG), vol. 21, pp. 267–276, ACM, 2002.
R. Mantiuk, G. Krawczyk, D. Zdrojewska, R. Mantiuk, K. Myszkowski, and H.-P. Seidel, High Dynamic Range Imaging. na, 2015.
A. O. Akyüz, K. Hadimli, M. Aydinlilar, and C. Bloch, “Style-based tone mapping for hdr images,” in SIGGRAPH Asia 2013 Technical Briefs, p. 23, ACM, 2013.
T. O. Aydin, R. Mantiuk, K. Myszkowski, and H.-P. Seidel, “Dynamic range independent image quality assessment,” in ACM Transactions on Graphics (TOG), vol. 27, p. 69, ACM, 2008.
J. Tumblin and H. Rushmeier, “Tone reproduction for realistic images,” Computer Graphics and Applications, IEEE, vol. 13, no. 6, pp. 42–48, 1993.
G. Ward, “A contrast-based scalefactor for luminance display,”
R. Fattal, D. Lischinski, and M. Werman, “Gradient domain high dynamic range compression,” in ACM Transactions on Graphics (TOG), vol. 21, pp. 249–256, ACM, 2002.
J. J. McCann and A. Rizzi, The art and science of HDR imaging, vol. 26. John Wiley & Sons, 2011.
P. Choudhury and J. Tumblin, “The trilateral filter for high contrast images and meshes,” in ACM SIGGRAPH 2005 Courses, p. 5, ACM, 2005.
F. Durand and J. Dorsey, “Fast bilateral filtering for the display of high-dynamic-range images,” ACM transactions on graphics (TOG), vol. 21, no. 3, pp. 257–266, 2002.
E. Reinhard, T. Pouli, T. Kunkel, B. Long, A. Ballestad, and G. Damberg, “Calibrated image appearance reproduction,” ACM Transactions on Graphics (TOG), vol. 31, no. 6, p. 201, 2012.
R. Mantiuk, A. Tomaszewska, and W. Heidrich, “Color correction for tone mapping,” in Computer Graphics Forum, vol. 28, pp. 193–202, Wiley Online Library, 2009.
M. Ashikhmin, “A tone mapping algorithm for high contrast images,” in Proceedings of the 13th Eurographics workshop on Rendering, pp. 145–156, Eurographics Association, 2002.
M. W. Tao, M. K. Johnson, and S. Paris, “Error-tolerant image compositing,” International journal of computer vision, vol. 103, no. 2, pp. 178–189, 2013.
S. F. El-Hakim, L. Gonzo, M. Picard, S. Girardi, A. Simoni, E. Paquet, H. L. Viktor, and C. Brenner, “Visualisation of highly textured surfaces.” in VAST, pp. 203–212, 2003.
M. Stokes, M. Anderson, S. Chandrasekar, and R. Motta, “A standard default color space for the internetsrgb, 1996,” URL http://www.w3.org/Graphics/Color/sRGB, 2012.
E. Reinhard, W. Heidrich, P. Debevec, S. Pattanaik, G. Ward, and K. Myszkowski, High dynamic range imaging: acquisition, display, and image-based lighting. Morgan Kaufmann, 2010.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media Singapore
About this paper
Cite this paper
Gadi Patil, A., Raman, S. (2017). Tone Mapping HDR Images Using Local Texture and Brightness Measures. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-2104-6_40
Download citation
DOI: https://doi.org/10.1007/978-981-10-2104-6_40
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-2103-9
Online ISBN: 978-981-10-2104-6
eBook Packages: EngineeringEngineering (R0)