"This text covers key mathematical principles and algorithms for
nonlinear filters used in image processing. Readers will gain an
in-depth understanding of the underlying mathematical and filter
design methodologies needed to construct and use nonlinear filters
in a variety of applications.
The 11 chapters explore topics of contemporary interest as well as
fundamentals drawn from nonlinear filtering's historical roots in
mathematical morphology and digital signal processing. This book
examines various filter options and the types of applications for
which they are best suited. The presentation is rigorous, yet
accessible to engineers with a solid background in mathematics."
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