On the Selection of Median Structure for Image Filtering
نویسندگان
چکیده
Median ltering is a powerful tool for reducing noise in images, particular for long-tailed noise distributions. However, the choice of lter mask is critical. The proper choice depends on the image and noise statistics, which are often unknown. We propose cross-validation as a method for selecting a median lter structure directly from the corrupted image data. This method requires no knowledge of the statistics of the noise or image. We demonstrate the value of this method with several examples.
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