The image denoising method is proposed based on dual tree complex wavelet transform, which can do better both in features preserving and noise removing.
将对偶树复小波变换应用于图像去噪，可以更好地表示图像的边缘和纹理特征，从而得到较小波更好的去噪效果。
Finally, based on the work of above, proposed a method of description and extraction image color and texture features in the dual tree complex wavelet transformation domain.
最后，在上面工作的基础上，提出了基于对偶数复小波域的图像的颜色和纹理特征的描述和提取方法。
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。
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。
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。
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