Abstract
This paper proposes a method to obtain the optimal filter parameter of the non-local mean (NLM) algorithm. The parameter is assumed to be a function of the variance of the additive white Gaussian noise and is adaptive estimated. The initialization of the variance of the additive white Gaussian noise is estimated by Wiener filter. Then the NLM filter is used to adaptively estimate the noise variance. The image denoising is an iterative computation till the parameter convergence. Experiments show that the proposed method can improve the quality of the denoised images efficiently.
| Original language | English |
|---|---|
| Title of host publication | Mechatronics Engineering, Computing and Information Technology |
| Publisher | Trans Tech Publications |
| Pages | 4839-4842 |
| Number of pages | 4 |
| ISBN (Print) | 9783038351153 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 2014 International Conference on Mechatronics Engineering and Computing Technology, ICMECT 2014 - Shanghai, China Duration: 9 Apr 2014 → 10 Apr 2014 |
Publication series
| Name | Applied Mechanics and Materials |
|---|---|
| Volume | 556-562 |
| ISSN (Print) | 1660-9336 |
| ISSN (Electronic) | 1662-7482 |
Conference
| Conference | 2014 International Conference on Mechatronics Engineering and Computing Technology, ICMECT 2014 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 9/04/14 → 10/04/14 |
Keywords
- Adaptive filter parameter
- Image denoising
- Non-local mean filter
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Tang, S. Y. (2014). A non-local image denoising technique using adaptive filter parameter. In Mechatronics Engineering, Computing and Information Technology (pp. 4839-4842). (Applied Mechanics and Materials; Vol. 556-562). Trans Tech Publications. https://doi.org/10.4028/www.scientific.net/AMM.556-562.4839