图像去雾透射率的优化算法

在雾、霾等天气条件下，大气粒子的散射作用导致图像严重降质。本文提出一种简单快速的基于物理模型的 图像去雾新算法，对大气散射模型进行化简，得到新的去雾模型。然后，利用暗原色先验方法估计大气光值A，并代入新的简 化模型，得到去雾图像。实验表明，该算法在处理速度和去雾效果上都优于现有算法。

The Optimization Algorithm of Image Defogging Transmittance

In the fog or haze weather, the scattering of atmospheric particles leads to serious image degradation. This paper proposes a simple and fast algorithm based on physical model to simplify the atmospheric scattering model and obtain a new defogging model. Then it uses the dark channel prior method to estimate the atmospheric light value A, and puts A into a new simplified model to get the fog image. Experiments show that the algorithm is superior to the existing algorithm in processing speed and defogging effect.