Abstract
We introduced and compared ten denoisingfilters which are all proposed during last fifteen years. Especially, the state-of-art denoisingalgorithms, NLM and BM3D, have attracted much attention. Several expansions are proposed to improve the noise reduction based on these two algorithms. On the other hand, optimal dictionaries, sparse representations and appropriate shapes of the transform's support are also considered for the image denoising. The comparison among variousfiltersis implemented by measuring the SNR of a phantom image and denoising effectiveness of a clinical image. The computational time is finally evaluated.
| Original language | English |
|---|---|
| Title of host publication | Fifth International Conference on Digital Image Processing, ICDIP 2013 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 5th International Conference on Digital Image Processing, ICDIP 2013 - Beijing, China Duration: 21 Apr 2013 → 22 Apr 2013 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 8878 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | 5th International Conference on Digital Image Processing, ICDIP 2013 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 21/04/13 → 22/04/13 |
Keywords
- Magnetic Resonance Image
- list: Denoising filters
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Ai, D., Wang, J., & Miwa, Y. (2013). Magnetic resonance image denoising using multiple filters. In Fifth International Conference on Digital Image Processing, ICDIP 2013 Article 887803 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8878). https://doi.org/10.1117/12.2030543