【摘要】 在雾、霾等天气条件下,大气粒子的散射作用导致捕获的图像严重降质.本文提出一种新的基于物理模型的快速单幅图像去雾算法.该算法从大气散射模型出发,通过对大气光照进行白平衡,从而简化大气散射模型;利用快速双边滤波方法估计大气耗散函数,进而恢复场景反照率.本文算法的时间复杂度达到图像像素数的线性函数,具有很快的执行速度.实验结果表明本文算法有效地恢复了场景的对比度和颜色,从而明显地提高了图像的视见度.更多还原

【Abstract】 Imaging in the atmosphere is often degraded by scattering due to atmospheric particles such as haze, fog, and mist. In this paper, we propose a novel fast defogging method based on the atmospheric scattering model. The white balance is performed and the atmospheric scattering model is simplified prior to visibility restoration. In the inference process of the atmospheric veil, the coarser estimate is refined using a fast bilateral filtering approach that preserves edges. Finally, the scene albedo is recovered by inverting this simplified model. The complexity of the proposed method is only a linear function of the number of input image pixels and this allows a very fast implementation. Results on a variety of outdoor foggy images demonstrate that the proposed method achieves good restoration for contrast and color fidelity, resulting in a great improvement in image visibility.更多还原