基于一维经验模态分解的图像细节提取方法

Extracting details from images based on 1-DEMD

将一维经验模式分解方法直接应用于二维图像处理中,提出了基于一维经验模态分解图像细节提取方法。首先将二维图像按行或列展开为一维向量;然后用一维经验模态分解方法进行分解。为了有效地得到二维图像在水平方向和垂直方向的细节信息,提出了在进行一维经验模态分解过程中对残余图像交叉使用行和列展开的方式。最后通过实验证明了该方法的可行性和有效性。

A new algorithm based on the 1-Dimensional Empirical Mode Decomposition（1-DEMD） is developed to extract details from 2-dimensional images.First,the 2-dimensional image matrices must be previously transformed into 1-D image vectors according to the line or column of the image matrix;then the 1-DEMD can be used for decomposition.In order to achieve both vertical and horizontal details of the image,matrix-to-vector transform according to the line or column of the image matrix is cross-used by 1-DEMD.Experimental results validate the feasibility of the proposed method.