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This paper presents a cluster-based adaptive weight switching median filter. Clustering analysis and a linear function is combined to capture local image statistics. In term of the local information, an iteration function is constructed to subtract impulses from corrupted image and thus noise detector is defined. After the noisy pixels are identified, in order to keep image details as intact as possible,...
Filtering is an essential step to image processing, at present, a lot of filtering algorithm will damage the detail information of an image when they were used to remove noise that distribute over the image, in such circumstances, attaining an ideal effect is very difficult. The improved filtering algorithm based on gray correlation degree makes use of gray correlation analysis to find out random...
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