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首页> 外文会议>Recent advances in business administration >A CONTRAST ENHANCEMENT BASED ALGORITHM TO IMPROVE VISIBILITY OF COLORED FOGGY IMAGES
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A CONTRAST ENHANCEMENT BASED ALGORITHM TO IMPROVE VISIBILITY OF COLORED FOGGY IMAGES

机译：一种基于对比度增强的改进模糊图像可视性的算法

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摘要

Images captured in foggy weather conditions get highly degraded due to suffering from poor contrast and loss of color characteristics. This paper presents a contrast enhancement algorithm for such degraded color images. To restore both contrast and color we propose following four steps: 1) RGB component of the input image is converted into Hue Intensity Saturation (HIS) components; 2) Applying a novel contrast enhancement technique on Intensity (I) component. This is done on the I component due to the well known fact that human vision system is more sensitive to this component as compared with other components (i.e. H, S); and then 3) apply Gamma correction method on the S component for color restoration; finally, 4) combining H, I, S components to get back RGB components. Besides proposed method being simple, experimental results show that the proposed method is very effective in contrast and color enhancement as compared to other competitive methods.
机译：在雾蒙蒙的天气条件下拍摄的图像由于对比度差和色彩特性的损失而严重退化。本文提出了一种针对此类降级彩色图像的对比度增强算法。为了恢复对比度和色彩，我们建议执行以下四个步骤：1）将输入图像的RGB分量转换为色相强度饱和度（HIS）分量； 2）在强度（I）分量上应用新颖的对比度增强技术。由于众所周知的事实，即人类视觉系统比其他组件（即H，S）对这一组件更敏感，因此对I组件执行此操作； 3）对S分量应用伽玛校正方法进行色彩还原。最后，4）组合H，I，S分量以返回RGB分量。实验结果表明，该方法简单易行，与其他竞争方法相比，在对比度和色彩增强方面非常有效。

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