SAR Image Denoising Method Based on Improved Wiener Filtering and P-M&LLT Partial Differential Equation
| Autor: | Li-Ya Dong, Xing-Tong Chen, Yang Cai |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Partial differential equation
business.industry Wiener filter Wavelet transform Speckle noise Filter (signal processing) Non-local means Noise symbols.namesake Computer Science::Graphics Computer Science::Computer Vision and Pattern Recognition symbols Computer vision Artificial intelligence business Image restoration Mathematics |
| Zdroj: | 2015 International Conference on Computer Science and Applications (CSA). |
| DOI: | 10.1109/csa.2015.30 |
| Popis: | In order to remove the speckle noise produced by SAR system in the process of imaging, an improved SAR image denoising algorithm based on Wiener filtering and P-MaLLT partial differential equation is proposed. In the algorithm, the image edge is preserved by P-M equation of the low order partial differential equations, and the higher order equation LLT method can recover the image smooth region and avoid the block effect. Experimental results show that the integrated model combining the three methods is the better solution to filter the speckle noise and keep the contradiction between the image details, and the noise effect of the SAR image will be better. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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