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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >THE DYNAMIC TRANSMISSION MAP FOR DEHAZING METHOD IN SINGLE IMAGE WITH TROPICAL ATMOSPHERIC CONDITION
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THE DYNAMIC TRANSMISSION MAP FOR DEHAZING METHOD IN SINGLE IMAGE WITH TROPICAL ATMOSPHERIC CONDITION

机译:具有热带大气条件的单幅图像中去吸收方法的动态传输映射

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Normally, outdoor images are degraded by light scattering and absorption from the atmosphere's dust, mist, haze, and smoke. These affect the image captured and cause poor visibility, dimmed luminosity, low contrast, and colour distortion. Therefore, it is crucial to restoring images captured, especially in haze conditions called image dehazing. The crucial aim of image dehazing is to improve the details on visibility, edge, and texture and retain the structure and colours of the image without data loss. Most algorithmic methods, considering the large number of algorithms suggested for single image dehazing, introduce dehazing at a certain haze level. There is a lack of a dehazing algorithm focused on the visibility range to overcome several haze levels. This paper proposes an improvement of the dehazing algorithm based on the meteorological visibility range with a dynamic transmission map to fix this problem This algorithm focuses on removing haze at different levels based on the determination of the visibility range, which is different from most existing dehazing algorithms. The dehazing algorithm emphasizes this proposed method contribute to better image quality than the existing state-of-the-art dehazing process.
机译:通常,户外图像通过光散射和吸收从大气的灰尘,雾气,雾度和烟雾降低。这些影响图像捕获并导致可见性,暗淡的亮度,低对比度和颜色失真差。因此,它对于恢复捕获的图像至关重要,尤其是在雾度条件中称为图像脱落。图像脱水的关键目标是改善关于可见性,边缘和纹理的细节,并在没有数据丢失的情况下保留图像的结构和颜色。大多数算法方法,考虑到为单个图像去吸附的大量算法,在某个雾度水平上引入除虫。缺乏集中在可见度范围内的脱水算法,以克服几个阴霾水平。本文提出了基于气象可视性范围的脱水算法的改进,通过动态传输映射来解决该问题,该算法基于确定可见度范围的确定,该算法侧重于在不同级别的雾度上除去雾度,这与大多数现有的脱水算法不同。除虫算法强调这种提出的方​​法有助于更好的图像质量而不是现有的最先进的脱水过程。

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