Image decomposition based on modified bidimensional empirical mode decomposition

Abstract

In this paper we develop an adaptive algorithm for decomposition of greyscales images. This method is highly adaptive decomposition image called Bidimentional Empirical Mode Decomposition (BEMD). It is based on the characterization of the image through its decomposition in Intrinsic Mode Function (IMF) where it can be decomposed into basis functions called IMF and a residue. This method offered a good result in visual quality, unfortunately this method consume an important execution time. To overcome this problem we proposed a new approach using Block based BEMD method where the input image is subdivided into blocks. Then the BEMD is applied on each of the four blocks separately. This method offered a good solution to reduce the execution time.