Abstract
In this paper, we present a novel image dehazing method based on physical model. In this new approach, we get the scene transmission by calculating the scattering coefficient and the scene depth. In the process of solving the scattering coefficient, haze particle diameter is considered. In different weather conditions, we pick appropriate haze particle diameter to achieve the best dehazing effect. The scene depth is estimated by factorizing from a single hazy image. Moreover, we can estimate better scene depth using stereo matching method. The results demonstrate that our algorithm achieves more accurate dehazing effect compared with several state-of-the-art methods.
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Acknowledgments
This work was supported in part by the 863 Program (2014AA015101), and the Natural Science Foundation of China under Grant 61301106 and 61327013.
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Cui, Y., Xiang, X. (2016). Haze Removal Technology Based on Physical Model. In: Chen, E., Gong, Y., Tie, Y. (eds) Advances in Multimedia Information Processing - PCM 2016. PCM 2016. Lecture Notes in Computer Science(), vol 9917. Springer, Cham. https://doi.org/10.1007/978-3-319-48896-7_39
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DOI: https://doi.org/10.1007/978-3-319-48896-7_39
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