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Visibility restoration of lake crater hazy image based on dark channel prior

机译:基于暗通道先验的火山口模糊图像可视性恢复

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Volcanic degassing is often happened on top of Mt Kelud. One of the indicator of its activity is the changing of the lake color. An observation has been conducted for years to watch the condition of the lake using a CCTV camera, the volcanology officer. Since it is located on top of the mountain, weather condition always change from clear, cloudy, or hazy. Obviously, the vision of the camera is limited or even blocked by the haze or fog. In this paper, we use a haze removal technique based on dark channel prior. The problem comes up because the airlight hard to estimate on non-sky area. By comparing different size of the patches, we found that, in our case, for smaller patch the airlight closes to its maximum limit. This airlight almost equals to sky region. For image improvement, we use guided image filter to maintain image quality after transmission map estimation. According to FADE (Fog Aware Density Evaluator) the fog density estimated to be 0.6333 and SSIM (Structural Similarity) 0.9977.
机译:火山脱气经常发生在克卢德山顶部。其活动的指标之一是湖泊颜色的变化。多年以来,一直在使用闭路电视摄像机火山学官员进行观察以观察湖泊的状况。由于它位于山顶上,因此天气状况总是会变得晴朗,多云或朦胧。显然,摄像机的视线受到雾霾的影响甚至被限制。在本文中,我们使用基于暗通道先验的除雾技术。出现此问题是因为很难在非天空区域上估算出空中照明。通过比较不同大小的补丁,我们发现,在我们的案例中,对于较小的补丁,空中照明关闭到其最大限制。这种光线几乎等于天空区域。为了提高图像质量,我们使用导引图像滤波器在透射图估计后保持图像质量。根据FADE(雾感知密度评估器),雾密度估计为0.6333,SSIM(结构相似性)为0.9977。

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