| Autor: |
Liu Baozhong, Liu Jianbin |
| Jazyk: |
English<br />French |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
MATEC Web of Conferences, Vol 232, p 03025 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/201823203025 |
| Popis: |
Aimed at the problem that the traditional image denoising algorithm is not effective in noise reduction, a new image denoising method is proposed. The method combines deep learning and non-local mean filtering algorithms to denoise the noisy image to obtain better noise reduction effect. By comparing with Gaussian filtering algorithm, median filtering algorithm, bilateral filtering algorithm and early non-local mean filtering algorithm, the noise reduction effect of the new algorithm is better than the traditional method and the peak signal to noise ratio is compared with the early non-local mean algorithm. The performance is better. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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