Dual-Tree Complex Wavelet Transform(DT-CWT) can provide shift invariance and directional selectivity.
对偶树复小波变换具有良好的方向选择性和平移不变性。
参考来源 - 基于对偶树复小波变换的纹理特征提取及分割Combined with pyramid structure of dual-tree complex wavelet, the dissertation adopts relaxation algorithm.
结合二元树复小波的金字塔结构,文中采用了基于金字塔结构的松弛算法。
参考来源 - 基于小波相位基元的机器人双目视觉深度信息获取研究·2,447,543篇论文数据，部分数据来源于NoteExpress
This article proposes to utilize the dual-tree complex wavelet transformation to the core image denoising, and good effect is obtained.
岩心图像的去噪是后续的目标检测与定量分析的关键。
A new locally adaptive image denoising method, which exploits the intra-scale and inter-scale dependency in the dual-tree complex wavelet domain, is presented.
充分利用二元树复数小波域内系数尺度间和尺度内的统计依赖关系，提出了一种新的局部自适应图像去噪方法。
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.
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。
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