计算机科学 ›› 2015, Vol. 42 ›› Issue (11): 112-117.doi: 10.11896/j.issn.1002-137X.2015.11.024
陈丽,郭玉坤,李金屏
CHEN Li, GUO Yu-kun and LI Jin-ping
摘要: 人们通常利用暗通道先验理论进行图像去雾,其副作用之一就是光晕现象,即Halo效应。在深入分析光晕效应特点的基础上,提出了一种基于Sigmoid函数的抑制Halo效应的有效算法。首先对带有光晕的图像进行大量观察,总结了光晕产生的位置规律及结构特性,构造了一个具有方向性的Sigmoid模板;然后对由暗通道先验理论得到的粗略透射率图进行边缘检测,获得景深突变处像素点的坐标和方向角;其次,再利用已构造的模板判断该处出现光晕的准确位置,并将非光晕区域的像素值赋给光晕区域,得到优化后的透射率图;最后引入一种容差机制还原出清晰无光晕的图像。本算法的特色在于所构造的模板仅仅处理出现光晕的区域,而不是处理整个图像区域,因此避免了传统方法中非光晕区域的颜色失真问题。实验结果表明,本算法简单易行,运行速度快,复原效果好。
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