Abstract
The image of Highway Traffic defogging has become an important part in the traffic security monitoring system. The studies in the image field on this topic are mainly based on the optical image transform theory and mathematical physics, with a number of fruitful results have been achieved, this paper proposes a method combining the mathematical morphology and the bit plane decomposition coding for traffic image defogging, compared with the traditional image defogging methods, the new method makes the effect increased displayed on PSNR values.
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Acknowledgements
This work has been supported by HGJ, HJSW and Research & Development plan of Shaanxi Province (Program No. 2017ZDXM-GY-094, 2015KTZDGY04-01).
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Zhang, Y., Zheng, J., Kou, X., Xie, Y. (2018). Traffic Image Defogging Based on Bit-Plane Decomposition. In: Ren, J., et al. Advances in Brain Inspired Cognitive Systems. BICS 2018. Lecture Notes in Computer Science(), vol 10989. Springer, Cham. https://doi.org/10.1007/978-3-030-00563-4_81
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DOI: https://doi.org/10.1007/978-3-030-00563-4_81
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