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Applications of Nonlinear Adaptive Filters for Image Enhancement,
MOORE SCHOOL OF ELECTRICAL ENGINEERING PHILADELPHIA PA
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Generalizations of median filters which combine desirable properties of both linear and nonlinear filters have recently been developed by the authors. This paper gives some results of applications of these filters in the enhancement of noisy images. The authors consider in particular the median, the alpha-trimmed mean alpha-TM, the modified trimmed mean MTM and the double window DW MTM filters. In all but the last case iterated use of the filter has been examined. The results show that the new filters MTM and DW MTM filters are very good for edge-preserving enhancement of images contaminated by additive noise which includes impulsive components.
APPROVED FOR PUBLIC RELEASE