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dualtreewavelettransform
- 双树复小波变换的源代码，可用于一维信号与二维图像的变换-double-tree Complex Wavelet transform the source code can be used in one-dimensional and two-dimensional image signal transformation
DT-CWTcode
- 该源代码又称双树复小波变换源代码，它不仅具有Gabor变换的六个方向选择性，而且有更小的冗余度，对图像处理的同行们肯定有很大的价值，可直接下载使用。
DTCWT
- 双树复小波变换 Dual-Tree Complex Wavelet Transform Pack - version 4.3 Nick Kingsbury, Cambridge University, June 2003. This pack includes the following functions for performing the Dual Tree Complex wavelet Transform on 1-D and 2-D signals.
dtcwt_toolbox4_3
- 双树复小波变换matlab工具箱，函数齐全，希望能给大家带来帮助
dtcwt_toolbox4_3
- 双树复小波变换工具箱,能够帮你实现双树复小波变换的分解-dt-cwt toolbox
DTCWT
- 双树复小波变换具有平移不变性、方向选择性等特点，适合进行图像压缩，优于传统离散小波变换方法。-The DT-CWT is suitable to image compression processing because of its shift invariance and directional selectivity. It is preferable to traditional Discrete Wavelet Transform(DWT).
ADAPTIVE-IMAGE-FUSION-ALGORITHM
- 针对低可见光图像和红外图像的特点,提出一种基于DT-CWT的自适应图像融合算法.该算法具有好的平移不变性和方向选择性,更适合于人类视觉.先对源图像作双树复小波变换,充分考虑各尺度分解层的系数特征,对 低通子带引入免疫克隆选择,根据统计评价准则定义亲和度函数,自适应获得最优融合权值 对高通子带则根据人类视觉特性定义局部方向对比度,并作为融合准则,突出和增强了各源图像的对比度与细节信息.实验结果表明: 与基于小波的融合结果相比较,本文的融合算法自适应性和鲁棒性更强,较好地保护和显示了源图像中
ECG-DTCWT
- 基于双树复小波变换的心电去噪方法研究，比较详细的资料- ECGDenoising Based on Dual Tree Complex Wavelet Transform
72566206DTCWT
- 双树复小波变换去噪声， 小波变换去噪声，双树复合小波变换1-D和2-D信号：(Double - tree complex wavelet transform de - noising)
dtcwt_toolbox4_3
- 针对小波变换在信号处理中的不足，提出了 双树复小波变换的方法信号进行处理，特别是对心电和脑电信号的去躁处理，最后和小波变换比较。(In view of the deficiency of wavelet transform in signal processing, a dual tree complex wavelet transform method is proposed to deal with the signal, especially for the ECG and EEG sig
1
- 可用于图像去噪，增强。语音为MATLAB，双树复小波变换的代码。(It can be used for image denoising and enhancement.Speech is MATLAB, dual tree complex wavelet transform code)
双树复小波变换源码参考
- 完成一维信号小波去噪，并比较不同阈值的去噪效果(Complete one dimensional signal wavelet de-noising)
VPSNaiduDTCWTfusiondemo
- 基于双树复小波变换的灰度图像融合关键程序(Key program of gray image fusion based on double tree complex wavelet transform)
waveletcode
- 小波变换，双树复小波，小波和复小波的图像阈值去噪(Wavelet transform, double tree complex wavelet, wavelet and complex wavelet image deniosing)
双树复小波
- 这是一个双树复小波的MATLAB的应用工具箱，里面包含了一维、二维复小波变换代码，可直接调用。(This is a dual tree complex wavelet MATLAB application toolbox, which contains one-dimensional, two-dimensional complex wavelet transform code, which can be directly invoked.)
双树复小波_matlab程序
- 双树复小波变换是为克服通常的离散小波变换的缺陷而提出的(The dual tree complex wavelet transform is proposed to overcome the shortcomings of the usual discrete wavelet transform)
dtcwt_toolbox4_3
- 双树复小波(DT-CWT)是传统单小波的推广,该变换具有平移不变性、好的方向选择性和高效的计算效率,因此在图像融合领域较小波更具优势(Double tree complex wavelet (DT-CWT) is a generalization of traditional Dan Xiaobo, which has translation invariance, good direction selectivity and efficient computation efficiency.
matlab_test_3
- 自己毕业论文所做的双树复小波变换开发程序。( U81EA u5DF1 u6BD5 u4E1A u8BBA u6587 u6240 u505A u7684 u53CC u6811 u590D u5C0F u6CE2 u53D8 u6362 u5F00 u53D1 u7A0B u5E8F u3002)
双树复小波分解+特征提取+输出Excel
- 运行小波变换对图像进行处理分析，包括去噪纹理提取等(Running wavelet transform to process and analyze image, including denoising texture extraction, etc.)
dt-cwt
- 能够实现双树复小波包变换，有一段仿真例子可以供大家参考(Realization of dual tree complex wavelet packet transform)