This monograph presents a new theory for analysis, comparison and design
of nonlinear smoothers, linking to established practices. Although a
part of mathematical morphology, the special properties yield many
simple, powerful and illuminating results leading to a novel nonlinear
multiresolution analysis with pulses that may be as natural to vision as
wavelet analysis is to acoustics. Similar to median transforms, they
have the advantages of a supporting theory, computational simplicity,
remarkable consistency, full trend preservation, and a Parceval-type
identity.
Although the perspective is new and unfamiliar to most, the reader can
verify all the ideas and results with simple simulations on a computer
at each stage. The framework developed turns out to be a part of
mathematical morphology, but the additional specific structures and
properties yield a heuristic understanding that is easy to absorb for
practitioners in the fields like signal- and image processing.
The book targets mathematicians, scientists and engineers with interest
in concepts like trend, pulse, smoothness and resolution in sequences.