Then a special Vector Quantization, called Wavelet Tree Vector Quantization (WTVQ), is designed to compress the every spectral image data, and a higher compression performance is obtained.
采用特殊矢量量化编码，叫作小波树矢量量化(WTVQ)编码对每个谱象数据进行压缩，获得较高的压缩性能。
On the basis of analyzing video data acquisition from radar recording meter, an improved radar image compression algorithm, based on zero-tree coding wavelet decomposition, was proposed.
在对雷达记录仪采集的视频数据分析的基础上，提出了一种改进的基于零树编码的小波分解雷达图像压缩算法。
The feature vector is composed of wavelet texture energy features, texture features based on the gray-level co-occurrence matrix and the tone of filtered SAR image by using tree wavelet.
该方法将树型小波中颇纹理能量特征、灰度共生矩阵特征、树型小波滤波后的灰度组成的特征矢量对SAR图像进行分类。
The statistics modeling method of underwater noise signal is studied. The hidden Markov tree model in wavelet domain is adopted to model the sea noise and various ship-radiated noise.
研究了基于小波域多尺度树结构的水下噪声信号统计概率模型的建模方法。
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。
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。
In this paper, we present a novel robust digital image watermark arithmetic based on Wavelet Packet with Best Tree with combining HVS and embedding method of image adaptive.
本文提出了一种结合人眼视觉特性(HVS)的自适应水印嵌入方法的基于最优小波包基数字图像水印鲁棒性算法。
The method is based on real 3d wavelet transform, and implements a three dimensional extension of SPIHT in still image coding by defining a new spatial-temporal orientation tree structure.
该方法建立在真三维小波分解基础上，通过定义一种新的时空方向树结构，实现了静止图像SPIHT算法的三维扩展。
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。
Based on the frequency domain feature, energy eigenvector of frequency domain is presented using wavelet packet analysis method, and the way of best tree is used to choose symptom.
分析了用小波包能量分析方法提取故障信号特征向量的方法，并改进算法解决了小波包分解中的混频现象，根据最佳分解树进行了特征选择。
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。
An image coding method is introduced in the field of image engineering which is a new and efficient image coding technique i. e. Embedded zero-tree wavelet EZW image coding.
介绍了图像工程领域里新颖有效的嵌入式零树小波ezw图像编码方法。
The zero-tree coding algorithm based on wavelet transform is a kind of good compression method. Firstly, this thesis studies this kind of algorithm and completes the whole design.
基于小波变换的零树编码算法是效果较好的一类压缩方法，因此本文首先对这种算法进行了研究，完成了整体方案的设计。
Low operation speed and being only fit for high quality images are the disadvantages of incomplete tree-structured wavelet. To deal with this problem, a new algorithm was proposed.
针对不完全小波树形结构分解提取纹理特征仅对清晰度高的图像效果佳，运算速度慢的问题，提出基于形态学预处理的不完全小波树形分解快速提取图像纹理特征的算法。
Low operation speed and being only fit for high quality images are the disadvantages of incomplete tree-structured wavelet. To deal with this problem, a new algorithm was proposed.
针对不完全小波树形结构分解提取纹理特征仅对清晰度高的图像效果佳，运算速度慢的问题，提出基于形态学预处理的不完全小波树形分解快速提取图像纹理特征的算法。
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