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In this paper, we describe a new method for bidimensional empirical mode decomposition (EMD). This decomposition is based on Delaunay triangulation and on piecewise cubic polynomial interpolation. A particular attention is devoted to boundary conditions that are crucial for the feasibility of the bidimensional EMD. The study of the behavior of the decomposition on different kind of images shows its efficiency in terms of computational cost and the decomposition of Gaussian white noises leads todoi:10.1109/lsp.2005.855548 fatcat:7yfz5iy2dve2jpqa6cemqfcuiu