A Novel Approach on Dehazing Volcanic Crater Lake Hazy Scene Videos Based on Color Attenuation Prior

O. V. Putra, Budi Prianto, A. Prayitno, Esther Irawati Setiawan, E. M. Yuniarno, M. Purnomo
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Abstract

A crater lake of Mt. Kelud active volcano formed after the eruption on February, 2014. Real time surveillance has been conducted for 24 hours using a CCTV camera on the top of the summit. The primary purpose of this observation is monitoring the volcanic activity, such as degassing and discoloration of crater lake water. These phenomenons became the symptoms of the volcanic activity. The weather condition is continuously changes between clear, cloudy, and hazy. Obviously, camera vision is obscured or even blocked by haze. Another problem is that airlight source is hard to estimate because the lake color tends to be brighter in clear conditions. In this paper, a dehazing technique is proposed based on color attenuation prior and contrast enhancement. In contrast enhancement, the transmission map was enhanced using adaptive gamma correction. Our data were analyzed using referenceless fog density estimation (FADE). Our experimental results give the best result when it comes to fog density (by 1.60912 density) compared to previous algorithms.
一种基于颜色衰减先验的火山口湖雾霾场景视频去雾方法
2014年2月,克鲁德活火山喷发后形成的火山口湖。山顶上的闭路电视摄像机对珠峰进行了24小时的实时监控。这次观测的主要目的是监测火山活动,如火山口湖水的脱气和变色。这些现象成为火山活动的征兆。天气状况在晴朗、多云和朦胧之间不断变化。很明显,相机的视觉被雾霾遮挡甚至阻挡。另一个问题是,空气光源很难估计,因为在晴朗的条件下,湖水的颜色往往更亮。本文提出了一种基于颜色衰减先验和对比度增强的图像去雾技术。在对比度增强方面,透射图采用自适应伽玛校正增强。我们的数据使用无参考雾密度估计(FADE)进行分析。与以前的算法相比,我们的实验结果在雾密度方面给出了最好的结果(1.60912密度)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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