A method for estimation and filtering of Gaussian noise in images

被引：76
|
作者：
Russo, F [1 ]
机构：
[1] Univ Trieste, Dipartimento Elettrotecn & Elettron Informat, Trieste, Italy
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2003年 / 52卷 / 04期
关键词：
Gaussian noise; image enhancement; image processing; image restoration; nonlinear filters;
D O I：
10.1109/TIM.2003.815989
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：
A new approach to the restoration of images corrupted by Gaussian noise is presented. The proposed method combines a nonlinear algorithm for detail preserving smoothing of noisy data and a technique for automatic parameter tuning based on noise estimation. As a key feature, the method does not require any a priori knowledge about the amount of noise corruption. Experimental results show that the filtering performance of the proposed approach is very satisfactory.
引用
收藏
页码：1148 / 1154
页数：7
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