@inproceedings{c65654b866114609a184316e7cc5bd7e,
title = "Multispectral image denoising using optimized vector NLM filter",
abstract = "In this paper, we present a Stein{\textquoteright}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.",
keywords = "Multispectral image, Stein{\textquoteright}s Unbiased Risk Estimator, Vector non-local mean filter",
author = "Said, {Ahmed Ben} and Sebti Foufou",
note = "Funding Information: 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. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 7th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2015 ; Conference date: 25-11-2015 Through 27-11-2015",
year = "2016",
doi = "10.1007/978-3-319-29451-3_25",
language = "English (US)",
isbn = "9783319294506",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "309--320",
editor = "Mariano Rivera and Brendan McCane and Xinguo Yu and Thomas Br{\"a}unl",
booktitle = "Image and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers",
}