Volume 14 Issue 3
May  2021
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Chinese Optics  > 2021  >  14(3): 596-604.
ZHANG Shen-hua, YANG Yan-xi, QIN Qiao-meng. A fast blind denoising method for grating image[J]. Chinese Optics, 2021, 14(3): 596-604. doi: 10.37188/CO.2020-0166
Citation: ZHANG Shen-hua, YANG Yan-xi, QIN Qiao-meng. A fast blind denoising method for grating image[J]. Chinese Optics, 2021, 14(3): 596-604. doi: 10.37188/CO.2020-0166
shu

A fast blind denoising method for grating image

  • 1.

    College of Automation, Xi’an University of Technology, Xi’an 710048, China

  • 2.

    College of Electronic and Information Engineering, Ankang University, Ankang 725000, China

  • 3.

    Shaanxi Key Laboratory of Complex system Control and Intelligent Information Processing, Xi’an 710048, China

Funds:  Supported by National Key R&D Program of China (No. 2018YFB1703000); Key R&D Program of Shaanxi Province (No. 2020ZDLGR07-06); Collaborative Innovation Center of Shaanxi Province for Green Manufacturing of Modern Equipment (No. 304-210891702)
  • Received Date: 11 Sep 2020
  • Rev Recd Date: 21 Oct 2020
    • Available Online: 09 Apr 2021
  • Publish Date: 14 May 2021
    Abstract
  • The three-dimensional measurement technology based on the projection of sine grating fringe image is a hot-topic. However, due to the influence of noise, the quality of the captured grating image is worse, resulting in the disturbance of the extracted phase, which directly determines the accuracy of the measurement. Since the noise is unknown in actual measurement, a blind denoising method is proposed in this paper. Firstly, according to the residual model, the grating fringe image is separated into the true value and the noise, then the Principal Component Analysis (PCA) technology is introduced to estimate the variance of the noise. Finally, according to the estimated value of the variance, the filtering on multi-frame fringe images is replaced by employing Gaussian filtering on the phase map. In contrast to other methods, the results of the proposed method showed that the Root Mean Square Error (RMSE) decreased by 88.5% (up to most), which indicated that the phase values of the proposed method were closer to the ground-truth of the measured object. By employing the proposed method, the phase disturbance caused by noise were significantly suppressed in the shortest execution time. The proposed method can quickly deal with the phase error caused by the noise of the grating image and has strong practicability in the grating image projection measurement.

     

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