具有更新自适应性形态小波的构造

Construction of Morphological Wavelets with Updating Adaptation

在基于提升格式形态小波的基础上,提出了一种具有更新自适应性的一维二通道和二维四通道形态小波的构造方法。在更新步骤中,选取局部均差绝对值最大的点作为低频近似信号,使更新算子具有自适应性。实验表明,在用该方法构造的形态小波对图像进行分级压缩显示时,低频部分能较好地保持原图中的细节,且具有较好的清晰度。

An approach for constructing one-dimensional two-channel and two-dimensional four-channel morphological wavelet with updating adaptation is presented. In the updating lifting step, selecting these points as the low-frequency signals from the 1×3 or 2×2 local windows, which absolute values of local average difference are maximum, and make the update operators possess the adaptation. Experimental results show that the low-frequency signals have the higher definition and can keep the detail information of original images well when the images are decomposed with the presented morphological wavelet.