Abstract
New robust image-filtering algorithms based on RM point estimates and on the known KNN-filter technology are presented. These RM-KNN filters show a sufficiently high efficiency in rejecting pulse noise and preserving object boundaries and small features of the image. The filters were checked with test and real images typical of remote-sensing problems. The proposed filters provide a good visual quality of the filtered images and feature better characteristics than the standard median filter.
Original language | English |
---|---|
Pages (from-to) | 450-455 |
Number of pages | 6 |
Journal | Journal of Communications Technology and Electronics |
Volume | 46 |
Issue number | 4 |
State | Published - Apr 2001 |