Title:
WeightedMedianFilterAlgorithmforImageProcessing.ra
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Description: A similarity function based on adaptive weighted median filtering algorithm. The method is first detected through the noise of the noise of image points, and then under the window the number of points within the noise adaptive filter to adjust the window size, and in accordance with similarity of the size of filtering window cleverly various adaptive grouping pixels and give the appropriate weight, and finally to detect the noise points in the weighted median filter. The experimental results show that computer simulation: the algorithm can effectively filter out noise, but also to protect the image detail better than the standard median filter has better filter performance.
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WeightedMedianFilterAlgorithmforImageProcessing.pdf
