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Impulse noise removal by k-means clustering identified fuzzy filter: a new approach
2020
Turkish Journal of Electrical Engineering and Computer Sciences
Removal of impulse noise from corrupted digital images has been a hitch in the field of image processing. 4 Random nature of impulse noise makes the task of noise removal more critical. Different filters have been designed 5 for noise removal purpose and have shown formidable results mostly for low and medium level noise densities. In this 6 paper, a new two-stage technique called K-Means Clustering Identified Fuzzy Filter (KMCIFF) is proposed for de-noising 7 gray-scale images. KMCIFF consists
doi:10.3906/elk-1910-34
fatcat:iwnrueg2ovh65glferqkh273pi