一种雾天图像低对比度增强的快速算法

为解决雾天图像低对比度问题，提出一种插值自适应直方图均衡化算法。该算法不仅避开了物理模型方法对景物信息的依赖，而且与其他图像处理算法相比能大幅度降低运算复杂度、消除块状效应、有效地突出图像细节信息，因此特别适合于深度信息多变且对比度较低的雾天图像。算法的有效性为实验结果所证实。

Fast algorithm to enhance contrast of fog-degraded images

In order to enhance contrast of scenery images degraded by fog, an interpolating self-adaptive histogram equalization algorithm was proposed. It not only avoided the reliance of the physical model on the structure information of scene, but also reduced the computation complexity, eliminated the blocking effect, and enhanced the local information of images. Thus it was especially adapted to the fog-degraded images with scene depth variations. Experiment results show that the nerformance of the nroDosed algorithm is very good.