The Principle and Implementation for Extended Adaptive Median Filter
扩展自适应中值滤波器的原理与实现

Noise filtering is a necessary step on image pre-processing stage in digital image processing. In most situations we will deal with image noise with high density, especially it is very difficult for processing image corrupted by salt-and-pepper noise with high probabilities. In this paper, the disadvantage of normal noise filter working in spatial domain was analyzed, and a new filtering technique, that is, extended adaptive median filtering technique was proposed. The extended adaptive median filtering not only inherites the advantages from standard adaptive median filter, but also remedies the corresponding disadvantages. It resolves the filtering problem for image corrupted with high density, and derives reasonable perfective effect. Finally several resulting figures from filtering technique effect figures are presented to verify the new noise filtering technique developed in this paper.