[1]许杰,杨会成. 基于暗原色先验与小波变换的图像去雾方法[J].计算机技术与发展,2016,26(02):66-68.
　XU Jie,YANG Hui-cheng. A Defogging Method for Image Based on Binding Priori Dark Colors and Wavelet Transform[J].,2016,26(02):66-68.
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 基于暗原色先验与小波变换的图像去雾方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年02期
页码:
66-68
栏目:
智能、算法、系统工程
出版日期:
2016-02-10

文章信息/Info

Title:
 A Defogging Method for Image Based on Binding Priori Dark Colors and Wavelet Transform
文章编号:
1673-629X（2016)02-0066-03
作者:
 许杰; 杨会成
 安徽工程大学 电气工程学院
Author(s):
 XU Jie; YANG Hui-cheng
关键词:
 ; 小波变换; 图像清晰化; 暗原色先验法; 小波分解; 阈值去噪
Keywords:
 ; wavelet transform; image clarity; dark colors priori method; wavelet decomposition; threshold denoising
分类号:
TP391.41
文献标志码:
A
摘要:
 针对雾天采集图像清晰度差、对比度低的问题，提出一种基于暗原色先验与小波变换的图像去雾方法。先利用暗原色先验规律直接从一幅有雾的图像中估计出景物透射率，恢复出比较清晰化的图像；再将图像由RGB空间转换到YUV空间，对亮度Y图像采用正交Haar小波变换进行处理，得到小波各层的分解系数，利用阈值滤波的细节系数增强法对雾天图像的高频子带小波系数进行处理，经小波重构得到增强后的亮度Y图像，最后与颜色分量U、V合并得到清晰化的雾天图像。实验结果表明：该方法对雾天模糊图像处理后，能有效提高图像的清晰度、细节和层次感，一定程度上改善了图像的视觉效果，是一种有效的雾天图像清晰化方法。
Abstract:
 For poor visibility and low contrast in fog image,a defogging method was proposed based on wavelet transform and dark chan-nel prior colors. First use of dark colors rule estimates the scene transmittance rate directly from a foggy image,recovering relatively clear picture. Then the image space is converted from RGB to YUV,the bright Y image was processed by using orthogonal Haar wavelet,obtai-ning coefficients of each layer,and use of detail coefficients image enhancement method to process high frequency sub-band wavelet co-efficients,luminance Y images were enhanced after wavelet reconstruction. Finally,the color components U , V are merged to get a clear picture with the fog color. The results show that the method,which is effective,is applied to image after fog,the clearance,detail and laye-ring has been improved significantly,to some extent improved visual effects.

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更新日期/Last Update: 2016-04-15