@inproceedings{77a1f6ddec6e4ad7b1fd2f5bda064c90,
title = "Poisson NL means: Unsupervised non local means for poisson noise",
abstract = "An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted to the statistics of Poisson noise. The influence of both images can be tuned using two filtering parameters. We propose an automatic setting to select these parameters based on the minimization of the estimated risk (mean square error). This selection uses an estimator of the MSE for NL means with Poisson noise and Newton's method to find the optimal parameters in few iterations.",
keywords = "Mean square error, Newton's method, Non local means, PURE, Poisson noise, SURE",
author = "Deledalle, \{Charles Alban\} and Florence Tupin and Lo{\"i}c Denis",
year = "2010",
month = dec,
day = "1",
doi = "10.1109/ICIP.2010.5653394",
language = "English",
isbn = "9781424479948",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "801--804",
booktitle = "2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings",
note = "2010 17th IEEE International Conference on Image Processing, ICIP 2010 ; Conference date: 26-09-2010 Through 29-09-2010",
}