Research on Algorithm of Correlation Denoising Based on Wavelet Transform

被引：0

作者：

Yang, Lei ^{[1
]}

Xue, Feng ^{[1
]}

Wang, Hong Hai ^{[1
]}

Cheng, Hua Wei ^{[1
]}

机构：

[1] An Hui San Lian Univ, Hefei 230601, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES FOR RAIL TRANSPORTATION (EITRT) 2017: ELECTRICAL TRACTION | 2018年 / 482卷

关键词：

Correlation denoising; Wavelet transform; Traffic monitoring;

D O I：

10.1007/978-981-10-7986-3_98

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Aiming at the problem of noise in the traffic monitoring, especially at night, an image denoising algorithm is proposed. Application of correlation denoising algorithm based on wavelet transform in traffic monitoring. Firstly, Haar wavelet is used as the transform matrix, then image data are denoised. And The similarity of the image is evaluated by the peak signal to noise ratio. Finally, the obtained data is compared with the algorithm of existing adaptive threshold. It is found that the improved algorithm of correlation denoising achieved the expected effect and can denoise the monitoring image of nighttime very well.

引用

页码：969 / 975

页数：7

共 6 条

[1]

Buades T, 2015, INT WORKSH LOC NONL, P1

[2] Image denoising using scale mixtures of Gaussians in the wavelet domain [J].