Abstract
In order to solve the problem that the existing methods reduce the noise of the confocal Raman spectroscopy microscopy images insufficiently, a method based on wavelet transform is proposed to remove the noise of the confocal Raman spectral images comprehensively. The method processes the confocal Raman spectral images by wavelet transform firstly, and then performs bilateral filtering on the Raman image to suppress noise interference in the confocal Raman spectrum images. Both the theoretical analysis and experiments show that compared with the exiting methods, this method improves respectively the peak signal-to-noise ratio and structural similarity of the confocal Raman spectral image by 92.99% and 197%. It improves the signal-to-noise ratio of the confocal Raman spectral image and the accuracy of material composition analysis effectively.
| Translated title of the contribution | Confocal Raman image denoising method based on wavelet transform |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 330-335 |
| Number of pages | 6 |
| Journal | Guangxue Jishu/Optical Technique |
| Volume | 45 |
| Issue number | 3 |
| Publication status | Published - 1 May 2019 |