基于变分模型的单色图像去雾

Shengnan Zhao, Hao Yang, Yonghao Zhao
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引用次数: 1

摘要

将变分方法与大气衰减模型相结合,提出了两种基于暗信道先验和MTV模型的单色图像去雾算法,分别称为H-MTV模型和NL-H-MTV模型。然后,我们用Dual Bregman算法计算H-MTV模型,用Split Bregman算法计算NL-H-MTV模型。我们进行了三次实验来调整参数。最后,将所提模型与He算法和Kimmel Retinex算法进行了比较。实验结果表明,该方法可以有效地去除雾,同时保持纹理特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single Color Image Dehazing Based on Variational Model
Combining variational approach with the atmospheric attenuation model, two single color image dehazing algorithms on the basis of dark channel prior and MTV model are proposed which are called H-MTV model and NL-H-MTV model. Then, we use Dual Bregman algorithm to calculate the H-MTV model and Split Bregman algorithm to calculate the NL-H-MTV model. We conducted three experiments to adjust the parameters. Finally, comparing the proposed models with He algorithm and Kimmel Retinex algorithm. Experimental results show that the proposed methods can remove fog while keeping texture features effectively.
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