A Directional Bi-dimensional Empirical Mode Decomposition Based Image De-noising Algorithm

摘要

In this paper, a new image de-noising algorithm based on directional bi-dimensional empirical mode decomposition. Attractive features of this algorithm include its data driven mechanism and its ability of capturing directional information. The framework contains three steps: the image to be denoised is first decomposed into several intrinsic mode functions, and a residue. Then the intrinsic mode functions are decomposed into various directional sub-bands. The directional sub-bands of image are smoothed by filters. Finally, the smoothed sub-bands of the image are combined with the image's original residue to get the final image. The proposed algorithm is tested on several natural images, and experimental results justify the superiority of the proposed algorithm subjectively and objectively.