Shot Noise Adaptive Bilateral Filter

被引:9
|
作者
Phelippeau, Harold [1 ,2 ]
Talbot, Hugues [1 ]
Akil, Mohamed [1 ]
Bara, Stefan [2 ]
机构
[1] Univ Paris Est, Labinfo, ESIEE 93162, Noisy Le Grand, France
[2] NXP Semicond, F-14906 Caen 9, France
来源
ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS | 2008年
关键词
image sensors; Poisson noise model; noise filtering; noise reduction; noise estimation; photons flow; gaussian weight;
D O I
10.1109/ICOSP.2008.4697265
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
The bilateral filter (BF) [1, 2, 3] is an important image denoising local filter. It reduces noise in images while preserving edges by means of nonlinear combination of local pixel values. Its formulation and implementation are both simple. However the BF is not parameter-free. The set of the bilateral filter parameters has an important influence on its behavior and performance. They have to be chosen considering the end application. In the case of noise removal, the parameters have to be adapted to the noise level, while the bilateral filter adapts itself to the image details content. In this paper we propose a method to estimate the best bilateral filter intensity parameter set in the case of shot noise removal, the dominant form of natural noise in digital imaging.
引用
收藏
页码:864 / +
页数:2
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