A new adaptive center weighted median filter for suppressing impulsive noise in images
Information Sciences: an International Journal
Fuzzy random impulse noise reduction method
Fuzzy Sets and Systems
Histogram-based fuzzy colour filter for image restoration
Image and Vision Computing
Fusion of complementary detectors for improving blotch detection in digitized films
Pattern Recognition Letters
Computerized feature quantification of sublingual veins from color sublingual images
Computer Methods and Programs in Biomedicine
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
A fuzzy filter for the removal of random impulse noise in image sequences
Image and Vision Computing
| Hi-index | 35.68 |
A new class of rank-order-based filters, called lower-upper-middle (LUM) filters, is introduced. The output of these filters is determined by comparing a lower- and an upper-order statistic to the middle sample in the filter window. These filters can be designed for smoothing and sharpening, or outlier rejection. The level of smoothing done by the filter can range from no smoothing to that of the median filter. This flexibility allows the LUM filter to be designed to best balance the tradeoffs between noise smoothing and signal detail preservation. LUM filters for enhancing edge gradients can be designed to be insensitive to low levels of additive noise and to remove impulsive noise. Furthermore, LUM filters do not cause overshoot or undershoot. Some statistical and deterministic properties of the LUM filters are developed, and a number of experimental results are presented to illustrate the performance. These experiments include applications to 1D signals and to images