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(An extension of the non local (NL) means is proposed for images damaged by Poisson noise.)