PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images

被引:12
作者
Delon, Julie [1 ]
Desolneux, Agnes [2 ]
Guillemot, Thierry [1 ]
机构
[1] Univ Paris 05, MAP5, Paris, France
[2] ENS Cachan, CMLA, CNRS, Cachan, France
来源
IMAGE PROCESSING ON LINE | 2016年 / 6卷
关键词
impulse noise; Gaussian noise; denoising; image patches;
D O I
10.5201/ipol.2016.161
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper, we present an implementation of the PARIGI method that addresses the problem of the restoration of images affected by impulse noise or by a mixture of Gaussian and impulse noise. The method relies on a patch-based approach, which requires careful choices for both the distance between patches and for the statistical estimator of the original patch. Experiments are performed in the case of pure impulse noise and in the case of a mixture of Gaussian and impulse noise.
引用
收藏
页码:130 / 154
页数:25
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