An approach for image noise identification using minimum distance classifier
نویسندگان
چکیده
This paper deals with the problem of identifying the nature of noise in order to apply the most appropriate algorithm for de-noising. The key idea involves isolation of some representative noise samples and extraction of their features for noise identification. The isolation of the noise samples is achieved through application of filters. Statistical features are extracted and the minimum distance classifier is applied for identification of the noise type present.
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