Smoothing images by a probability filter

被引：2

作者：

Pan, MC ^{[1
]}

Lettington, AH ^{[1
]}

机构：

[1] Univ Reading, JJ Thomson Phys Lab, Reading RG6 2AF, Berks, England

来源：

IEEE INTERNATIONAL JOINT SYMPOSIA ON INTELLIGENCE AND SYSTEMS - PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/IJSIS.1998.685472

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Image smoothing is a useful and necessary part of image processing. Both the median and mean filters are popular smoothing methods, but there can be problems when these two filters are applied to an image corrupted by unknown noise. We present a spatial domain probability filter which achieves the advantages of median and mean filters. The aim of our probability filter is to provide a compromise between the two more conventional filters. We present experimental results and performance evaluation of the median, mean filters and this probability filter operating on an image corrupted by impulse-like or random noise.

引用

页码：343 / 346

页数：4

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