方向提升小波变换 DLWT
The main works are as follows:Firstly, in order to produce quincunx down sampling and up sampling which could form directional wavelet transform, the rotated factor matrixes is introduced based on discrete wavelet transform.
主要研究包括以下内容： (1) 在离散小波变换原理的基础上引入旋转因子矩阵产生“五株形”抽取和插值形成方向小波变换，使图像的分解具有“极化”能力，将方向小波变换应用到图像的降噪、增强和融合中。
参考来源 - 方向小波变换在遥感图像处理中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
比较了方向小波变换和传统小波变换在图像边缘检测中的不同之处。分析得出方向小波变换更符合图像的方向、纹理特征，因而更能反映图像的边缘信息。
Our analysis shows that directional wavelet transforms can better reflect the edge information of images because they better corresponds to the characteristics of image direction and texture.
针对波阻抗方向继电器利用初始电压和电流行波的比值构成的特点，提出了基于小波变换的继电器算法。
According to the property that the surge impedance relay is realized by the ratio of voltage and current travelling waves, the relay's algorithm based on wavelets is present.
针对离散小波变换具有平移变化性和弱方向性的特性，本文提出了一种基于双树复小波变换(DT - CWT)统计模型的医学图像纹理检索方法。
Presents a novel texture retrieval approach of medical images based on statistic model by Dual-Tree Complex Wavelet Trans - form (DT-CWT) for the shift sensitivity and poor directionality of DWT.
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