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- Image Denoising Based on Local Mixture Gaussian Model of Dual-tree Complex Wavelet Domain 二元树复小波域的局部高斯混合模型图像降噪
- complex wavelet domain 复小波域
- Firstly calculate the absolution of the source speech signal, then analyze the absoluted signal in the dyadic wavelet domain. 首先对原始语音信号取绝对值,然后对其进行小波变换,认为8阶小波变换绝对值的极大值点对应于原始语音的音素分段点。
- Therefore, an algorithm of PD signal reconstruction based on modulus maximum wavelet domain is presented in this paper. 为此,该文提出一种基于模极大值小波域的局部放电信号重构算法。
- This paper presents a blind watermarking scheme baaed on the visual perceptual model in wavelet domain. 摘要提出了一种基于视觉感知模型的小波域图像盲水印方案。
- A adaptive watermarking scheme based on quadtree-split in the wavelet domain is proposed in this paper. 摘要文章提出了一种基于四叉树分割的小波域自适应水印方案。
- A wavelet domain Indicator of the local spatial activity achieved the adaption to the spatial context in the image. 使用具有局部空间活跃性的小波域标记能达到对图像空间上下文关系的适应。
- We give the implementation of SRIW in Wavelet Domain for exemplifying it and propose the special evaluation of SRIW. 以小波域为例给出了SRIW实现方法,提出了SRIW特有的评价标准。
- An improved digital watermarking algorithm based on dual-tree complex wavelet transform was presented. 提出了一种改进的、基于二元树复小波变换的数字水印算法。
- 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。
- An audio watermarking algorithm based on mean quantization in the wavelet domain is presented. 摘要提出了一种均值量化的小波域数字音频水印算法。
- Each kind of palmprint pattern is described by parameters in wavelet domain that learned form samples by estimation. 通过样本学习,利用参数佑计的方法,每种掌纹模式的理想模型表示为小波域内的特定参变量。
- The feature extraction of wavelet domain and the significance of each feature in wavelet domain are analyzed. 研究了小波变换域的音频特征提取,分析了这些特征在小波变换域中的意义。
- A rotation invariant texture classification algorithm based on log-polar and Dual-Tree Complex Wavelet Transform(DT-CWT) is proposed. 提出了一种基于对数-极坐标变换(Log-Polar)和双树复数小波变换(DT-CWT)的旋转不变纹理分类算法。
- Threshold de-noising in wavelet domain is an efficient algorithm to reduce the white noise in digital signal. 摘要小波阈值降噪算法是一种去除数字信号中白噪声的有效算法。
- A texture classification algorithm based on Dual-tree Complex Wavelet Transform (DT-CWT) and Support Vector Machines (SVM) is proposed. 提出了一种基于双树复数小波变换(DT-CWT)和支持向量机(SVM)的纹理分类算法。
- For the multidirectional images, Dual-Tree Complex Wavelet Transform (DTCWT) was employed instead of the traditional Discrete Wavelet Transform (DWT). 对于多方向性的图像,使用双树复小波变换取代传统的离散小波变换。
- On these grounds, the wavelet domain optimal watermark imbedding algorithm is put forward based on the genetic algorithm. 据此,提出了一种基于遗传算法的小波域优化水印嵌入算法。
- A rotation invariant texture classification algorithm based on log-polar and dual-tree complex wavelet transform (DT-CWT) is proposed. 摘要 提出了一种基于对数-极坐标变换和双树复数小波变换的旋转不变纹理分类算法。
- A new de-noising method based on wavelet domain median filter is proposes, which is effective for removing Gaussian white and impulse noises. 摘要提出了小波域中值滤波的去噪方法,在去除高斯白噪声的同时能有效地去除脉冲噪声。