摘要
为了获得更优的红外视频图像复原效果,针对当前算法存在的不足,提出一种小波变换和Retinex的红外视频图像自动复原算法,首先采用小波变换对原始红外视频图像进行分解,消除其中的噪声,然后利用Retinex算法对红外视频图像进行增强处理,最后采用仿真实验测试算法的性能。实验结果表明,本文算法提高了红外视频图像的信噪比,降低了均方误差,提高了红外视频图像的复原效率,图像复原效果要优于对比算法,具有一定的应用价值。
In order to obtain better restoration effect of infrared video image,aiming at the deficiency existed in the current algorithm,this paper presents a infrared video image automatic restoration algorithm based on wavelet transform and Retinex algorithm. Firstly,the wavelet transform is used to decompose the original infrared video image and eliminate the noise,and then Retinex algorithm is used to enhance infrared video image,lastly,the simulation experiment is used to test the algorithm performance. The experimental results show that the proposed algorithm in this paper improves the infrared video image signal to noise ratio,reduce mean squared error and improve the recovery efficiency,image restoration effect is better than the comparison algorithm,and has certain application value.
出处
《激光杂志》
北大核心
2015年第11期60-62,共3页
Laser Journal
基金
宁夏科技厅基金项目(200122300x)
