pith. sign in

arxiv: 1309.4151 · v1 · pith:SZZEGBX7new · submitted 2013-09-17 · 📊 stat.AP · cs.CV

A Non-Local Means Filter for Removing the Poisson Noise

classification 📊 stat.AP cs.CV
keywords filternon-localmeanspoissonnoisealgorithmdealcalled
0
0 comments X
read the original abstract

A new image denoising algorithm to deal with the Poisson noise model is given, which is based on the idea of Non-Local Mean. By using the "Oracle" concept, we establish a theorem to show that the Non-Local Means Filter can effectively deal with Poisson noise with some modification. Under the theoretical result, we construct our new algorithm called Non-Local Means Poisson Filter and demonstrate in theory that the filter converges at the usual optimal rate. The filter is as simple as the classic Non-Local Means and the simulation results show that our filter is very competitive.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.