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JBE, vol. 23, no. 5, pp.714-717, September, 2018

DOI: https://doi.org/10.5909/JBE.2018.23.5.714

High Dynamic Range Imaging Using Inverted Local Patterns with Saturation Compensation

Oh Seol Kwon

C.A E-mail: osk1@changwon.ac.kr

Abstract:

This paper presents a method of HDR imaging with adaptive saturation compensation for brightness change. The saturation of HDR images were lighten on dark region because conventional HDR methods have focused on brightness change. Therefore, the proposed HDR method compensates saturation adaptively according to brightness change. For experiments of several images, the proposed algorithm is superior to conventional HDR methods qualitatively and quantitatively in terms of color saturation.



Keyword: High dynamic image, saturation, display

Reference:
[1] G. Yadav, S. Maheshwari, and A. Agarwal, “Contrast Limited Adaptive Histogram Equalization Based Enhancement For Real Time Video System,” Proc. International Conference on Advances in Computing, Communications and Informatics, New Delhi, India, pp. 2392-2397. 2014.
[2] G. Guarnieri, S. Marsi, and G. Ramponi, “High dynamic range image display with halo and clipping prevention,” IEEE Trans. Image Process., Vol. 20, No. 5, pp. 1351-1362, May 2011.
[3] K. Kim, J. Bae, and J. Kim, “Natural HDR image tone mapping based on retinex,” IEEE Trans. Consum. Electron., Vol. 57, No. 4, pp. 1807–1814, Nov. 2011.
[4] S. Hsia and T. Kuo, "High-performance high dynamic range image generation by inverted local patterns," IET Image Processing, Vol. 9, Vo. 12, pp. 1083-1091, Nov. 2015.
[5] R. Mantiuk, K. Myszkowski, and H. Seidel, "Visual difference predictor for HDR images," Proc. of IEEE International Conference on Systems, Man and Cybernetics, Hague, Netherlands, pp. 2763-2769, 2004.

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