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Traffic Image Defogging Based on Bit-Plane Decomposition

机译:基于位平面分解的交通图像除雾

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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.
机译:公路交通除雾的图像已成为交通安全监控系统的重要组成部分。在该领域图像领域的研究主要基于光学图像变换理论和数学物理学,取得了丰硕的成果,本文提出了一种将数学形态学与位平面分解编码相结合的交通图像方法。除雾,与传统的图像除雾方法相比,新方法使效果增加了在PSNR值上显示的效果。

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