Multispectral image denoising using optimized vector NLM filter
| Author | Said, Ahmed Ben |
| Author | Foufou, Sebti |
| Available date | 2021-06-24T06:47:11Z |
| Publication Date | 2016 |
| Publication Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Resource | Scopus |
| ISSN | 3029743 |
| Abstract | In this paper, we present a Stein's Unbiased Risk Estimator (SURE) approach for Non-Local Mean filter to denoise multispectral images. We extend this filter to the vector case in order to take advantage from the additional spectral information brought by the multispectral imaging system. Experimental results show that the proposed optimized vector non-local mean filter (OVNLM) presented good denoising performance compared to several other approaches. Springer International Publishing Switzerland 2016. |
| Sponsor | This publication was made possible by NPRP grant #4-1165- 2-453 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
| Language | en |
| Publisher | Springer Verlag |
| Subject | Multispectral image Stein's Unbiased Risk Estimator Vector non-local mean filter |
| Type | Conference Paper |
| Pagination | 309-320 |
| Volume Number | 9431 |
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