一种改进的基于暗通道先验的图像去雾算法

针对暗通道先验去雾算法在图像灰白色或天空区域会产生颜色畸变及图像比较暗淡的问题，提出一种基于暗通道先验改进的算法。该算法通过修正导致颜色畸变的透射率计算问题，从而提高图像的视觉效果。同时，通过降低3个颜色通道的高亮度值，并采用均值方法来得到增强的无雾图像。实验结果表明，本文方法在很大程度上消除了去雾图像明亮区域的颜色畸变现象且有更好的颜色恢复度。

An Improved Image Dehazing Algorithm Based on Dark Channel Prior

Aiming at the problem that the dark channel prior image dehazing algorithm produces color distortion and dim image in offwhite scenery or bright sky, an improved method based on dark channel prior is proposed. By correcting the computing problem of transmission rate which causes color distortion, the visual effect of the image can be improved. In addition, an enhanced free-haze image is obtained by reducing the high brightness value of the three color channels and using the mean value method. The experimental results show that the proposed method largely eliminates color distortion in the bright areas of the dehazed image and has better color degrees.