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The Dedusting Method Based on a Single Still Image

机译:基于单个静止图像的除尘方法

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摘要

In order to restore the image in dust environment, a method was proposed to restore the images in dust environment based on a single still image. Firstly, an image degradation model considering multiple scattering factors caused by dust was built using the first-order multiple scattering methods. Then, a new geometric depth model of single image was presented. This model utilized depth map of a dust image to improve usual geometric depth model. According to the new model the every distance of the objects in dust environment was able to acquire from a single still image. Finally, an image in dust environment could be restored according to the relationship between the dark channel prior model and the distance information which was calculated by the geometric depth model. The experimental results have shown that the method enhanced luminance and contrast. The method provided a foundation for target recognition in the dust environments.
机译:为了恢复灰尘环境中的图像,提出了一种基于单个静止图像的灰尘环境中的图像来恢复图像。首先,考虑到灰尘引起的多次散射因子的图像劣化模型是使用一阶多阶多次散射方法构建的。然后,提出了一种单个图像的新几何深度模型。该模型利用灰尘图像的深度图,以改善通常的几何深度模型。根据新模型,灰尘环境中对象的每一个距离都能够从单个静止图像获取。最后,可以根据暗信道先前模型与由几何深度模型计算的距离信息之间的关系来恢复灰尘环境中的图像。实验结果表明该方法增强了亮度和对比度。该方法为灰尘环境中的目标识别提供了基础。

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