@inproceedings{0d141fd1616145c09fa9b41866c05475,
title = "A non-local image denoising technique using adaptive filter parameter",
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.",
keywords = "Adaptive filter parameter, Image denoising, Non-local mean filter",
author = "Tang, {Song Yuan}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.556-562.4839",
language = "English",
isbn = "9783038351153",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications",
pages = "4839--4842",
booktitle = "Mechatronics Engineering, Computing and Information Technology",
address = "Germany",
note = "2014 International Conference on Mechatronics Engineering and Computing Technology, ICMECT 2014 ; Conference date: 09-04-2014 Through 10-04-2014",
}