姜祖运;王小春;李红军;

• 1:北京林业大学理学院

摘要(Abstract)：

为了提高图像去雾效果,提出一种在图像多尺度分解的基础上,通过改进的暗原色方法实现图像去雾的算法。该算法在HSV颜色空间中,首先对亮度分量V进行多尺度分解,然后对高频部分进行软阈值消噪,并通过梯度运算增强边缘,对低频部分采用改进的暗原色先验模型进行处理;其次,对饱和度分量S先进行非局部均值滤波去噪,再通过线性拉伸使其复原;最后,将图像由HSV空间转换到RGB空间得到最终的去雾图像。实验结果表明,在去雾效果和时间复杂度方面,该算法比一些经典算法都有明显的改善。

关键词(KeyWords)： 图像去雾;多尺度分解;暗原色先验;W-BEMD分解;软阈值消噪;形态学滤波;边缘增强

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（61571046）

作者(Author): 姜祖运;王小春;李红军;

Email:

DOI: 10.16652/j.issn.1004-373x.2021.07.009

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