基于交叉滤波技术的可见光图像增强方法研究

Research on visible light image enhancement method based on cross filtering technology

为了改善可见光图像成像效果,针对当前可见光图像增强方法存在的缺陷,提出了基于交叉滤波的可见光图像增强方法。首先分析可见光图像增强研究进展,找到各种可见光图像增强方法存在的不足,然后采集可见光图像增强,采用显著性模特征检测方法去除受云雾影响,最后采用交叉滤波方法实现可见光图像的信息增强和滤波处理,并进行了可见光图像质量增强测试。测试结果表明,本方法输出峰值信噪比的均值为74.225 dB,实验对比方法的输出峰值信噪比的均值均在41 dB以下,得出该方法可以提升可见光图像增强的输出峰值信噪比,改善了受云雾影响可见光图像质量。

A visible light image enhancement method based on cross filtering is proposed in order to improve the effect of visible light image.aiming at the defects of the current enhancement methods First,the research progress of visible light image enhancement is analyzed,and the shortcomings of various visible enhancement methods are found.Then,the visible light image is collected for enhancement,and the saliency feature detection method is used to remove the influence of clouds.Finally,the cross filtering method is used to realize the information enhancement and filtering processing of the visible light image,and the quality enhancement test is carried out.The test results show that the average value of the output peak signal-to-noise ratio of the method in this paper is 74.225 dB,and the average value of the output peak signal-to-noise ratio of the experimental comparison method is below 41 dB.In conclusion,this method can improve the output peak signal-to-noise ratio of the visible light image enhancement.It also improved the quality of visible light images affected by clouds and fog.