Fast digital locally monotonic regression

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Fast Digital Locally Monotonic Regression - Signal Processing, IEEE Transactions on

Locally monotonic regression is the optimal counterpart of iterated median filtering. In a previous paper, Restrepo and Bovik developed an elegant mathematical framework in which they studied locally monotonic regressions in R . The drawback is that the complexity of their algorithms is exponential in N . In this paper, we consider digital locally monotonic regressions, in which the output symb...

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The concept of local monotonicity appears in the study of the set of root signals of the median filter and provides a measure of the smoothness of a signal. The median filter is a suboptimal smoother under this measure of smoothness, since a filter pass does necessarily yield a locally monotonic output; even if a locally monotonic output does result, there is no guarantee that it will possess o...

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ژورنال

عنوان ژورنال: IEEE Transactions on Signal Processing

سال: 1997

ISSN: 1053-587X

DOI: 10.1109/78.554303