摘要
微光夜视图像使用的像增强器会导致电子噪声和低照度的产生,2种因素会导致图像不清晰,细节不足。该文分析了2种影响因素的产生原理,针对其采用改进的小波变换去噪算法和融合算法进行处理以提高图像分辨率。实验结果表明:经过去噪和融合的微光夜视图像获得了更高的图像分辨率,保留了更多的图像细节。
Image Intensifier of Low-Light-Level night vision image lead to electronic noise and low light level coming, which always lead images unclear and insufficient details. The paper analyze the principle of these influence factors, and using denoising algorithm and fusion algorithm based on improved wavelet transform algorithm in order to improve the image resolution. Experimental results show that： With denoising and image fusion, Low-Light-Level night vision images get more image resolution and retain more image details.
出处
《电子测量技术》
2015年第1期38-40,共3页
Electronic Measurement Technology
关键词
微光夜视图像
小波变换
图像去噪
图像融合
Low-Light-Level night vision image
wavelet transform
image denoising
image fusion
