| 基于大气散射模型的偏振图像去雾算法 |
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| 引用本文： | 彭文竹.基于大气散射模型的偏振图像去雾算法[J].电子测量技术,2011,34(7):43-45,61. |
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| 作者姓名： | 彭文竹 |
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| 作者单位： | 集美大学诚毅学院厦门 361021 |
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| 摘 要： | 雾是1种常见的天气现象,由于大气中的水汽等对太阳光的散射作用会造成拍摄图像的对比度降低.在大气散射物理模型的基础上,提出1种可以轻松去除图像雾霾的方法.该算法首先利用偏振成像系统获取最好状态下和最差状态下的2幅图像,然后通过边缘检测和最佳正态分布搜索算法对天空区域进行分割,从而估算大气光强度和大气传递系数,最终实现图像...
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| 关 键 词： | 雾 大气散射模型 偏振图像 大气光 大气传递系数 |
Polarization dehazing algorithm based on atmosphere scattering model |
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| Peng Wenzhu.Polarization dehazing algorithm based on atmosphere scattering model[J].Electronic Measurement Technology,2011,34(7):43-45,61. |
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| Authors: | Peng Wenzhu |
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| Affiliation: | Peng Wenzhu(Chengyi College,Jimei University,Xiamen 361021) |
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| Abstract: | Haze which is caused by scattering of sunlight by water vapor and other scattering sources in atmosphere,can significantly reduce the contrast of images.Present an approach to easily remove the effects of haze from images based on the model of atmosphere scattering.The algorithm makes use of polarization imaging detection system to obtain two images under the best and the worst polarization states first.Then uses edge detection algorithm and the best normal distribution search algorithm to divide the sky,an... |
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| Keywords: | haze atmosphere scattering model polarization imaging airlight atmosphere transfer coefficient |
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