Recent Advances in High Dynamic Range Imaging

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This paper aims to present a review of recent techniques in high dynamic range imaging (HDRI), which was the topic in research areas including image processing, computer graphics, and photography. HDRI or just HDR is a set of techniques that allows a greater dynamic range between the lightest and darkest areas of an image than current standard digital imaging techniques or photographic methods. HDR imaging technologies will spread its sphere of influence in imaging industry for its high quality and its powerful expression ability, including digital cinema, digital photography and next generation broadcast. This paper discusses recent advances, future direction in HDRI. The major goal of the paper is to provide a reference source for the researchers involved in HDRI, regardless of particular application areas.

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699-702

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December 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Y. Bandoh, G. Qiu, M. Okuda, S. Daly, Til Aach, Oscar c. Au. in Proceedings Of 2010 IEEE 17th International Conference On Imaging Processing, Sept 26-19, (2010).

DOI: 10.1109/icip.2010.5653554

Google Scholar

[2] J. Cohen, C. Tchou, T. Hawkins, P. E Debevec, S. Jacob Gortler, K. Myszkowski. in Proceedings of the 12th Eurographics Workshop on Rendering Techniques (Springer): 313-320, ( 2001).

DOI: 10.1007/978-3-7091-6242-2_29

Google Scholar

[3] V. Vonikakis, I. Andreadis. in Advances in image and video technology: Second Pacific Rim Symposium (PSIVT) 2007, Santiago, Chile, December 17-19, (2007).

DOI: 10.1007/978-3-540-77129-6

Google Scholar

[4] S. Mann and R. W. Picard. in Proceedings of Society for Imaging Science and Technology's 48th Annual Conference, 442-448(1995).

Google Scholar

[5] P. E. Debevec, J. Malik. in Proceedings of ACM Siggraph 369-378, (1997).

Google Scholar

[6] S. B. Kang, M. Uyttendaele, S. Winder, R. Szeliski. in Proceedings of ACM Siggraph(2003).

Google Scholar

[7] R. Ginosar, O. Hilsenrath, Y. Zeevi. United States Patent #5, 144, 442, (1992).

Google Scholar

[8] P. E. Debevec, , J. Malik . in Proceedings of ACM Siggraph , 369-378, (1997).

Google Scholar

[9] A.A. Bell, C. Seiler, J. N. Kaftan, T. Aach. in 15th IEEE International Conference on Image Processing, ( ICIP 2008).

DOI: 10.1109/icip.2008.4711816

Google Scholar

[10] Hasinoff. in IEEE Conference on Computer Vision and Pattern Recognition (CVPR2010).

Google Scholar

[11] B. R. Lim, Rh. Park. in IEEE Transactions on Consumer Electronics, Vol. 52, No. 4, November (2006).

Google Scholar

[12] T. S. Cho. in Massachusetts Institute of Technology (2010).

Google Scholar

[13] Z. Zhu, S. Wu, S. Rahardja. in IEEE Conference on Industrial Electronics and Applicationsis, (2010).

Google Scholar

[14] J. An, S. H. Lee, J. G. Kuk , N. I. Cho. in IEEE International Conference on Speech and Signal Processing (ICASSP 2011).

Google Scholar