OpenCV耦合改进暗通道先验的图像去雾算法研究

Image Fogging Algorithm Based on OpenCV and Improved Prior Dark Channel

为提高当前图像去雾算法的稳定性,改善在大雾天气雾气很严重时的去雾质量。提出了基于OpenCV耦合改进暗通道先验的图像去雾算法与实现机制。分析了暗通道先验理论与雾图形成模型;对先验理论进行了改进,推算出去雾公式;引入OpenCV实现机制,增强系统运行效率。实验结果表明:与普通的图像去雾算法相比,在雾气很严重时,算法具有更好的去雾效果,准确还原了图像的清晰度,失真度较小,可应用于雾气严重情况下的退化图像复原。

To improve the stability of current image fogging algorithm,and enhance the fogging quali-ty when the fog is very serious.In this paper the image fogging algorithm and its realization mechanism based on OpenCV coupling the improved dark channel prior were proposed.Firstly,the dark channel pri-or theory and fog image formation model were analyzed;and then the fogging function was deducted by improving the prior theory; Finally, the system running efficiency was enhanced by introducing the OpenCV realization mechanism.Simulation results show that compared with common image fogging algo-rithm,when the fog is very serious,the fogging effect of this algorithm is better for accurately resrotation the image definition.this algorithm can be applied to reconstruct the degrade image with seriously foggy weather.