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Bidimensional empirical mode decomposition (BEMD) has been one of the core activities in image processing due to its fully data-driven and self-adaptive nature. Unfortunately, this promising technique is sensitive to boundary effect. In this paper, a new method inspired by the multivariate gray model (MGM), namely , is developed for boundary extension of the BEMD. Specifically, our contribution...
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