A novel recoverable semi-fragile digital watermark algorithm in multiwavelet domain is proposed.
提出一种多小波域可恢复半脆弱数字水印算法。
参考来源 - 多小波域可恢复半脆弱数字水印算法The digital watermarking algorithm combined SVD and multi-wavelet transform.
结合SVD和多小波变换的数字水印算法。
参考来源 - 基于变换域的数字水印算法的研究Thirdly, SAR image compression based on multiwavelet transform is proposed.
然后,论文研究了基于多小波变换的SAR图像压缩。
参考来源 - 基于小波理论的SAR图像压缩算法研究In the end, we make a conclusion and look forward to the future of multiwavlet with vector quantization , and put forward some possible technology.
最后,作为一个应用方法的探索,我们总结和展望了多小波图像矢量量化的发展前景,并提出一些可能的技术。
参考来源 - 基于多小波的图像矢量量化研究·2,447,543篇论文数据，部分数据来源于NoteExpress
理论上，应用这样的多小波边缘提取算子提取图像的复合边缘可以有任意高的边缘定位精度。
Theoretically, based on this approach ones have the possibility of getting arbitrary precise localization for the edges that are composed of steps and pulse with wavelet transformation.
多小波可以同时具有对称性、正交性、短支撑性、高阶消失矩等性质，这是传统小波无法比拟的。
Multiwavelet can possess symmetry, orthogonality, short support and high order vanish moments, however traditional wavelet cannot possess all these properties at the same time.
本文介绍正交多小波、双正交多小波、半正交多小波的构造方法，以及多小波在信号处理方面的应用。
The main purpose of this paper is to introduce the construction of orthogonal, biorthogonal and semi orthogonal multiwavelet and the application of multiwavelet to signal processing.
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