Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
532811 | Journal of Visual Communication and Image Representation | 2008 | 10 Pages |
Abstract
A novel approach to impulsive noise detection in color images is introduced. In the paper, the peer group concept is redefined by means of a certain fuzzy metric. This concept is employed for the fast detection of noisy pixels by taking advantage of the fuzzy metric properties. On the basis of the noisy pixel detection a switching filter between the arithmetic mean filter (AMF) and the identity operation is proposed. The proposed switching filter achieves a trade-off between noise suppression and signal-detail preservation and is faster than recently introduced switching filters based on the peer group concept.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Joan-Gerard Camarena, Valentín Gregori, Samuel Morillas, Almanzor Sapena,