Abstract
This paper proposes a denoising method based on a non-local (NL) means. The NL-means algorithm is effective to remove a Gaussian noise, but the denoising parameter should be controlled depending on the noise level for proper noise elimination. The proposed method gives the optimal denoising parameter according to the noise levels.
| Original language | English |
|---|---|
| Title of host publication | Society for Information Display - 19th International Display Workshops 2012, IDW/AD 2012 |
| Pages | 1726-1729 |
| Number of pages | 4 |
| State | Published - 2012 |
| Event | 19th International Display Workshops in Conjunction with Asia Display 2012, IDW/AD 2012 - Kyoto, Japan Duration: 4 Dec 2012 → 7 Dec 2012 |
Publication series
| Name | Proceedings of the International Display Workshops |
|---|---|
| Volume | 3 |
| ISSN (Print) | 1883-2490 |
Conference
| Conference | 19th International Display Workshops in Conjunction with Asia Display 2012, IDW/AD 2012 |
|---|---|
| Country/Territory | Japan |
| City | Kyoto |
| Period | 4/12/12 → 7/12/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Additive white Gaussian noise (AWGN)
- Denoising parameter (h parameter)
- Noise level
- Non-local means filter
Fingerprint
Dive into the research topics of 'Image denoising method based on non-local means filter and noise estimation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver