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.