The de-illumination methods of face recognition based on 2-D EMD

De-illumination is a key technology for enhancing and recognizing images of human faces.An image can be decomposed into several intrinsic mode functions(IMFs) adaptively by two dimensional empirical mode decomposition(2-D EMD).The reconstruction of these IMFs is useful in image denoising and enhancement.Based on the theory and features of 2-D EMD,two new kinds of de-illumination methods were explored: 2-D EMD followed by reconstruction of the original image,and 2-D EMD followed by reconstruction of a log-image based on the Lambert illumination model.A test and comparison using the eigen-face recognition method was run.The results showed good de-illumination performance by both methods,but log-images had better robustness and practicability.