Abstract
Tone mapping operators (TMOs) convert high dynamic range (HDR) images to low dynamic range (LDR) images and are important because of the limitations of many standard display devices. Even though the quality of the resulting LDR image mostly depends on TMO parameter values, in this paper it is shown that it can be further improved by using alternative definitions of the luminance channel, which TMOs process. A new model of the luminance channel calculation that increases the resulting LDR image quality is also proposed. The main advantage of the new model is that the TMOs that produce results of lower quality can be made to produce results of significantly higher quality.
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References
HDR imaging (2014), http://docs.opencv.org/master/modules/photo/doc/hDR_imaging.html
Braun, G.J., Fairchild, M.D.: Image lightness rescaling using sigmoidal contrast enhancement functions. Journal of Electronic Imaging 8(4), 380–393 (1999)
Drago, F., Myszkowski, K., Annen, T., Chiba, N.: Adaptive logarithmic mapping for displaying high contrast scenes. In: Computer Graphics Forum, vol. 22, pp. 419–426. Wiley Online Library (2003)
Durand, F., Dorsey, J.: Fast bilateral filtering for the display of high-dynamic-range images. ACM Transactions on Graphics (TOG) 21(3), 257–266 (2002)
Fattal, R., Lischinski, D., Werman, M.: Gradient domain high dynamic range compression. ACM Transactions on Graphics (TOG) 21, 249–256 (2002)
Jarque, C.M., Bera, A.K.: A test for normality of observations and regression residuals. International Statistical Review/Revue Internationale de Statistique, 163–172 (1987)
Koschan, A., Abidi, M.: Digital Color Image Processing. Wiley (2008), http://books.google.hr/books?id=SlXgTyQ86VsC
Kuang, J., Yamaguchi, H., Johnson, G.M., Fairchild, M.D.: Testing HDR image rendering algorithms. In: Color and Imaging Conference, vol. 2004, pp. 315–320. Society for Imaging Science and Technology (2004)
Kuang, J., Yamaguchi, H., Liu, C., Johnson, G.M., Fairchild, M.D.: Evaluating HDR rendering algorithms. ACM Transactions on Applied Perception (TAP) 4(2), 9 (2007)
Larson, G.W., Rushmeier, H., Piatko, C.: A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics 3(4), 291–306 (1997)
Mantiuk, R., Daly, S., Kerofsky, L.: Display adaptive tone mapping. ACM Transactions on Graphics (TOG) 27, 68 (2008)
Maxwell, S., Delaney, H.: Designing Experiments and Analyzing Data: A Model Comparison Perspective. No. s. 1 in Designing Experiments and Analyzing Data: A Model Comparison Perspective, Lawrence Erlbaum Associates (2004), http://books.google.hr/books?id=gKZbD3lL88AC
Meylan, L., Susstrunk, S.: High dynamic range image rendering with a retinex-based adaptive filter. IEEE Transactions on Image Processing 15(9), 2820–2830 (2006)
NTUST Compute Graphics Group: HDR (2014), http://graphics.csie.ntust.edu.tw/pub/HDR/
Reinhard, E., Devlin, K.: Dynamic range reduction inspired by photoreceptor physiology. IEEE Transactions on Visualization and Computer Graphics 11(1), 13–24 (2005)
Reinhard, E., Heidrich, W., Debevec, P., Pattanaik, S., Ward, G., Myszkowski, K.: High dynamic range imaging: Acquisition, display, and image-based lighting. Morgan Kaufmann (2010)
Reinhard, E., Stark, M., Shirley, P., Ferwerda, J.: Photographic tone reproduction for digital images. ACM Transactions on Graphics (TOG) 21, 267–276 (2002)
Yeganeh, H., Zhou, W.: Objective Quality Assessment of Tone Mapped Images. IEEE Transactions on Image Processing 22(2), 657–667 (2013)
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Banić, N., Lončarić, S. (2014). Improving the Tone Mapping Operators by Using a Redefined Version of the Luminance Channel. In: Elmoataz, A., Lezoray, O., Nouboud, F., Mammass, D. (eds) Image and Signal Processing. ICISP 2014. Lecture Notes in Computer Science, vol 8509. Springer, Cham. https://doi.org/10.1007/978-3-319-07998-1_45
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DOI: https://doi.org/10.1007/978-3-319-07998-1_45
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