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The Research on Defogging Algorithm Based on Dark Channel in Color Space

机译:基于彩色空间暗通道的缺失算法研究

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In order to restore degraded image quality under foggy conditions, this paper proposes an improved defogging algorithm based on dark color knowledge in color space. According to the scene depth relationship between objects in a foggy image, the algorithm can repair the dark color figure, in which the grey scale line distance is used to judge edges, the most similar point of dark colors is selected as new value of dark value based on the character of the adjacent dark color, and the dark color image is used to obtain atmospheric light value automatically. Finally, the defogging purposes have been achieved based on the inverse process of the model. Experimental results show that improved algorithm effectively improves the visual effect of fog-degraded images.
机译:为了在有雾条件下恢复降低的图像质量,本文提出了一种基于彩色空间中深色知识的改进缺陷算法。根据雾图像中对象之间的场景深度关系,算法可以修复暗色数字,其中灰度线距离用于判断边缘,选择最相似的深色点作为暗值的新值。基于相邻暗颜色的特征,用暗彩色图像自动地获得大气光值。最后,基于模型的逆过程实现了脱模目的。实验结果表明,改进的算法有效提高了雾化图像的视觉效果。

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