Image denoising based on Bidimensional Empirical Mode Decomposition

Abstract

Through the analysis of principle and process of image signal denoising, a kind of image denoising algorithm based on Bidimensional Empirical Mode Decomposition is proposed. This paper has improved the traditional Bidimensional Empirical Mode Decomposition method. Bidimensional Empirical Mode Decomposition method is used to decompose the image signal and selective denoising is done to decomposition result by applying self-adaptive median filtering. Denoising result can fully retain the non-stationary feature which is inherent in image signal and it also has the characteristics of strong self-adaption, flexibility and effectiveness. Its computation speed and computational accuracy are greatly increased. It is proved by experiment that when processing noising image, this method not only greatly reduces the noise, but also retains the detail information like the edge of original image well.