为提高雾霭天降质图像的清晰度和色彩保真度，基于暗原色先验提出了一种改进的图像快速去雾方法.针对原方法运算时间过长的问题，在保证去雾效果的前提下，利用快速双边滤波方法代替软件抠图修复透过率图，大幅度地降低了计算量和复杂度，处理时间仅为原方法的5%，满足了一般工程上的实时性要求.针对去雾处理后的图像亮度降低、颜色较实际场景偏暗的问题，提出了一种简单有效的图像对比度和亮度增强的方法，自适应地增强了图像的亮度，并对局部由于雾浓度过高而造成不清晰的区域，进行了对比度修正.结果表明，该方法能够快速有效地复原出雾天场景的对比度和真实色彩，在一定程度上保证了户外成像系统在恶劣天气下工作的稳定性和可靠性.

In order to improve degraded image clarity and color fidelity in foggy weather, an improved defogging method based on dark-channel prior is proposed. According to the more computation time，and on the premise of defogging effect, fast bilateral filtering is used instead of soft matting to refine transmission map that reduces the complexity of the algorithm greatly. The processing time is 5% of original method，which can meet the real-time requirements of the general engineering. Since the brightness of image after haze removal is lower than the actual scene and the color is dim, a simple and effective method of image contrast and brightness enhancement is proposed. It adaptively enhances the image brightness, and modifies the local contrast which is due to the thick fog and haze. The experimental results indicates that this method can restore the fog scene and color rapidly and effectively, and guaranteed the stability and reliability of outdoor imaging system in bad weather in a certain extent.