Abstract
High Dynamic Range (HDR) images were evolved to display smallest details of the captured image with high standards. To display HDR images on Low Dynamic Range (LDR) monitors compression is required, which is done by Tone Mapping Operators (TMOs). Recently, there are a lot of tone mapping algorithms that are available in market. Different TMO creates images with different quality. To measure the quality of such images Tone-Mapped Quality Index was proposed (TMQI). TMQI mainly depends on the two parameters. The first is structural fidelity (SF) which is very similar to structural similarity and the second, is statistical naturalness (SN). The limitation of TMQI-1 is some parameter is image independent described in below sections so, improved model TMQI-2 is proposed in this paper. In order to further improve the quality of image, iterative optimization algorithm is used. Our experimental results show that TMQI-2 is better than earlier TMQI. Further, iterative optimization increases the overall quality of image.
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References
Ledda, P., Chalmers, A., Troscianko, T., Seetzen, H.: Evaluation of tone mapping operators using a high dynamic range display. ACM Trans. Graph. 24(3), 640–648 (2005)
ÄŒadÃk, M., Wimmer, M., Neumann, L., Artusi, A.: Image attributes and quality for evaluation of tone mapping operators. In: Proceedings of 14th Pacific Conference on Computer Graphics and Applications, pp. 35–44 (2006)
CadÃk, M., Wimmer, M., Neumann, L., Artusi, A.: Evaluation of HDR tone mapping methods using essential perceptual attributes. Comput. Graph. 32(3), 330–349 (2008)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)
Mantiuk, R., Daly, S., Myszkowski, K., Seidel, S.: Predicting visible differences in high dynamic range images—model and its calibration. Proc. SPIE 5666, 204–214 (2005)
Mane, T.D., Tamboli, S.S.: Evaluating grade of tone mapped high dynamic range images. In: Proceedings of IEEE International Conference on Signal Processing and Communication (2017)
Reinhard, E., Stark, M., Shirley, P., Ferwerda, J.: Photographic tone reproduction for digital images. ACM Trans. Graph. 21(3), 267–276 (2002)
Drago, F., Myszkowski, K., Annen, T., Chiba, N.: Adaptive logarithmic mapping for displaying high contrast scenes. Comput. Graph. Forum 22(3), 419–426 (2003)
Durand, F., Dorsey, J.: Fast bilateral filtering for the display of high-dynamic-range images. ACM Trans. Graph. 21(3), 257–266 (2002)
Mantiuk, R., Daly, S., Kerofsky, L.: Display adaptive tone mapping. ACM Trans. Graph. 27(3), Art. ID 68 (2008)
Yeganeh, H., Wang, Z.: Objective quality assessment of tone-mapped images. IEEE Trans. Image Process. 22(2), 657–667 (2013)
Wang, Z., Simoncelli, E.P.: Stimulus synthesis for efficient evaluation and refinement of perceptual image quality metrics. Proc. SPIE 5292, 99–108 (2004)
Nocedal, J., Wright, S.J.: Numerical Optimization, 2nd edn. Springer, New York, NY, USA (2006)
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Mane, T., Tamboli, S.S. (2019). Improved Version of Tone-Mapped Quality Index. In: Iyer, B., Nalbalwar, S., Pathak, N. (eds) Computing, Communication and Signal Processing . Advances in Intelligent Systems and Computing, vol 810. Springer, Singapore. https://doi.org/10.1007/978-981-13-1513-8_82
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DOI: https://doi.org/10.1007/978-981-13-1513-8_82
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