Research on Algorithm of Correlation Denoising Based on Wavelet Transform

  • Lei Yang
  • Feng Xue
  • Hong hai Wang
  • Hua wei Cheng
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 482)


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.


Correlation denoising Wavelet transform Traffic monitoring 



Project fund:

1. Natural Science Research Project of Anhui Province. Item Number: KJ2017A522;

2. Anhui Sanlian university research fund. Item Number: Yjt16002;

3. Anhui Sanlian university research fund. Item Number: kjzd2016002;

4. Anhui Sanlian university research fund. Item Number: PTZD2017001;

5. Anhui Sanlian university research fund. Item Number: 14zlgc045;

6. Anhui Sanlian university research fund. Item Number: kjyb2016002.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Lei Yang
    • 1
  • Feng Xue
    • 1
  • Hong hai Wang
    • 1
  • Hua wei Cheng
    • 1
  1. 1.An Hui San Lian UniversityHefeiChina

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