基于优化透射率的快速去雾方法

Fast Dehazing Method Based on Optimized Transmittance

针对恢复后图像产生光晕和求大气光值时存在大量计算负担的情况,提出了一种的基于优化透射率的快速图像去雾新方法。采用直方图均衡化和双边滤波透射率修正机制来消除图像的光晕效应。此外,为了减少预估大气光值的计算负担,在大气模型的基础上,优化了大气光值的快速估计方法,使大气光值估计值更加准确。其次,为了改善去雾之后图片颜色暗淡的情况,采用直接非线性方法对图像进行后处理,来改善去雾后效果图的整体视觉效果。最终实验结果显示,本文算法与文献[11]的算法对比,去雾后图片的信息熵平均提高了0.4447,对比度平均提高了19.0429,能够更快速有效地去雾。

Aiming at the situation that the restored image produces halo and a large amount of computational burden when estimating the atmospheric light value,a novel image dehazing method based on the optimized transmission is proposed.In order to eliminate the halo generated after image dehazing,the histogram equalization and bilateral filtering transmission correction mechanism were used to eliminate the halo effect of the image.Secondly,based on the atmospheric model,a fast estimation method of atmospheric light value was adopted.It can reduce the computational burden and make the atmospheric light value estimate more accurate.Finally,in order to improve the color of the image after dehazing,the nonlinear stretching image enhancement was used to enhance the visual effect of the dehazed image.The experimental results show that the algorithm can dehaze more quickly and effectively,and the picture is better after dehazing.