ON THE SELECTION OF MEDIAN STRUCTURE FOR IMAGE FILTERING

被引：6
|
作者：
REEVES, SJ
机构：
[1] Department of Electrical Engineering, Auburn University, Auburn
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING | 1995年 / 42卷 / 08期
关键词：
Approximation theory - Data reduction - Image enhancement - Interference suppression - Mathematical models - Signal filtering and prediction - Statistical methods;
D O I：
10.1109/82.404089
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：
Median filtering is a powerful tool for reducing noise in images, particular for long-tailed noise distributions. However, the choice of filter mask is critical. The proper choice depends on the image and noise statistics, which are often unknown. We propose cross validation as a method for selecting a median fitter structure directly from the corrupted image data. This method requires no knowledge of the statistics of the noise or image. We demonstrate the value of this method with several examples.
引用
收藏
页码：556 / 558
页数：3
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