A bidimensional empirical mode decomposition method for color image processing

Bidimensional empirical mode decomposition (BEMD) techniques decompose an image into several bidimensional intrinsic mode functions (BIMFs) and a bidimensional residue (BR). Although currently existing BEMD methods are proposed for gray level images, there has been no BEMD method for color image analysis. In this paper an approach of BEMD technique is developed for the first time to decompose and analyze color images, named as color BEMD (CBEMD). For this purpose, a recently developed fast and adaptive BEMD (FABEMD) method is utilized, which employs order statistics filters (OSFs) to get the upper and lower envelopes instead of surface interpolation. Experimental results with real images depict the usefulness of the CBEMD method.