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.