POISSON NL MEANS: UNSUPERVISED NON LOCAL MEANS FOR POISSON NOISE

被引：89
|
作者：
Deledalle, Charles-Alban [1 ]
Tupin, Florence [1 ]
Denis, Loic [2 ]
机构：
[1] Telecom ParisTech, CNRS, Inst Telecom, LTCI, Paris, France
[2] Univ Lyon, UCBL ENS, F-69622 Villeurbanne, France
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年
关键词：
Non local means; Poisson noise; mean square error; SURE; PURE; Newton's method;
D O I：
10.1109/ICIP.2010.5653394
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页码：801 / 804
页数：4
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