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An Improved Method of Removing Fog and Haze Effect From Images

机译:从图像中去除雾和雾度效应的改进方法

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摘要

To process the fog and haze image, a local histogram equalization based on distant scale factor interpolation method to deal with the blocking effect was proposed. In this paper. We analyzed the basic features of the haze image, that is, low brightness and low contrast. And then, for these features we choose local histogram equalization and proposed an improved interpolation method to eliminate the blocking effect. The simulation results demonstrated that the proposed method can reduce time consumption, while suppressing the color distortion, improving the image contrast and getting satisfactory results.
机译:为了处理雾和雾霾图像,提出了一种基于远程比例因子插值方法来处理阻塞效果的局部直方图均衡。在本文中。我们分析了阴霾图像的基本特征,即低亮度和低对比度。然后,对于这些特征,我们选择局部直方图均衡,并提出了一种改进的插值方法来消除阻塞效果。仿真结果表明,该方法可以减少时间消耗,同时抑制颜色失真,提高图像对比度并获得令人满意的结果。

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