平滑图像的概率滤波器

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI:10.1109/IJSIS.1998.685472

Min-Cheng Pan, A. Lettington

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引用次数: 7

摘要

图像平滑是图像处理中必不可少的重要组成部分。中值滤波器和均值滤波器都是常用的平滑方法，但是当这两种滤波器应用于被未知噪声损坏的图像时，可能会出现问题。我们提出了一种空间域概率滤波器，它实现了中值滤波器和均值滤波器的优点。我们的概率过滤器的目的是在两个更传统的过滤器之间提供一个折衷方案。我们给出了中值滤波器、均值滤波器和这种概率滤波器在被脉冲或随机噪声损坏的图像上运行的实验结果和性能评估。

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Smoothing images by a probability filter

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.

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Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)

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