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Noise Intensity Estimation Method Based on PCA and Weak Textured Block Selection for Neutron Image
| Content Provider | Scilit |
|---|---|
| Author | Pan, Yao Qiao, Shuang Zhao, Chenyi |
| Copyright Year | 2021 |
| Description | Journal: Journal of Physics: Conference Series Noise intensity estimation has a very important application in image denoising. In image processing, the denoising method can achieve an ideal denoising effect under the assumption that the Gaussian noise intensity in the image is known. But in real denoising applications, especially the neutron image, the noise level is unknown, which will greatly affect the denoising effect of neutron image processing. In this paper, a method which combined the principal component analysis with weak texture block selection is proposed for noise intensity estimation of neutron images. The experimental results show that the proposed method can accurately estimate the Gaussian noise in the neutron image. Compared with the existing noise intensity estimation methods, the qualitative and quantitative results show that the proposed method has higher accuracy and stability. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/1739/1/012023/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1739/1/012023 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 1739 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2021-01-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Nuclear Energy and Engineering Noise in the Neutron Image Intensity Estimation Methods Noise Intensity Estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |
