Accession Number:

ADA151322

Title:

Applications of Nonlinear Adaptive Filters for Image Enhancement,

Descriptive Note:

Corporate Author:

MOORE SCHOOL OF ELECTRICAL ENGINEERING PHILADELPHIA PA

Personal Author(s):

• Lee,Y. H.
• Kassam,S. A.

Report Date:

1984-01-01

Pagination or Media Count:

4.0

Abstract:

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.

Descriptors:

• *IMAGE PROCESSING
• *ADAPTIVE FILTERS
• MODIFICATION
• IMPULSE NOISE

Subject Categories:

• Magnetic and Electric Field Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE