Block-based wavelet transform is applied to large-scale volume data, and effective octree structure is constructed to store significant wavelet coefficients map. The algorithm is not only a better compression ratio but it’s easy to random access block-based data.
通过对大规模体数据进行基于块的层次小波分解和构造有效的八叉树结构来保存小波重要系数位置信息,该算法不仅有较好的压缩率,而且很容易进行基于数据块的随机访问。
参考来源 - 面向网络的体绘制关键技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Data were embedded into the Least Significant Bit-plane (LSB) of high frequency CDF (2, 2) integer wavelet coefficients, which accorded with the principle of Human Visual System (HVS).
在图像的小波子带系数的最低位(LSB)嵌入隐藏数据，将数据嵌入到小波cdf(2,2)的高频子带系数中，符合人的视觉系统原理(HVS)。
And then addressing SAR image speckle denoising, this dissertation proposed a new method based on bivariate shrinkage function combined with enhancement of wavelet significant coefficients.
其次针对SAR图像相干斑抑制问题，提出一种双变量收缩函数与小波系数显著性增强相结合的SAR图像的斑点抑制算法。
Wavelet analysis of time coefficients indicates that it has the cycle of 2-4 years and the cycle component is more significant in the early 1950s and from the late 1990s to the early 21st century.
时间系数的小波分析表明其具有2 ~ 4年的周期，这一周期成分在1950年代前期和1990年代末至21世纪初这两个时段比较显著。
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