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基于多小波变换的医学图像融合方法研究基于多小波变换的医学图像融合方法研究(Based on Multi-Wavelet Transform Method for Medical Image Fusion Based on Multi-Wavelet Transform Medical Image Fusion Method)

说明：  基于小波变换的图像融合源代码，利用的融合规则分别使用简单的模值取大和基于区域能量。(Image fusion based on wavelet transform source code, the use of fusion rule modulus were obtained using a simple large and region-based energy.)

音频数字水印技术，采用小波变换，psnr、snr、nc等参数计算(Audio watermarking, DWT translation,parameter caculation)

基于小波变换模极大的多尺度图像边缘检测matlab源代码(based on wavelet transform modulus maxima of multiscale edge detection Matlab source code)

提取图像显著图，小波融合 非常详细，有用(Extract image saliency map, wavelet fusion is very detailed, useful for)

说明：  实现k-l变换，代码短，效率高，适合初学者进行上机练习，原理简单，比较容易懂和实现。(Achieve kl transformation, the code short, high efficiency, suitable for beginners to practice on the machine, simple in principle, relatively easy to understand and achieve.)

个人编写的提升格式97小波去噪，采用硬阈值法，三层分解，包括小波变换，去噪，逆变换三步(Written format of 97 individuals to enhance the wavelet denoising using hard threshold method, three decomposition, including wavelet transforms, denoising, inverse transform three-step)

短时傅里叶变换 快速傅里叶变换对音频信号处理 频谱分析 (fast fft )

实现离散余弦(TCD)变换(achieve discrete cosine (TCD) Transform)

说明：  2.1 傅里叶变换 2.1.1 经典傅里叶变换 2.1.2 傅里叶变换的基本性质 2.1.3 快速傅里叶变换 2.1.4 短时傅里叶变换 2.2 小波分析与多分辨率分析的历史 2.3 小波分析与傅里叶变换的对比 2.4 小波变换 2.4.1 连续小波变换 2.4.2 离散小波变换 2.4.3 高维小波连续变换 2.5 常用小波基函数 2.5.1 小波函数 2.5.2 小波函数系 2.5.3 复数小波 2.6 构造紧支撑正常小波基 2.7 多分辨率分析与小波构造 2.8 分析小波包 2.8.1 小波包的定义及性质 2.8.2 分解小波包的空间 2.8.3 小波包算法(2.1 Fourier transform 2.1.1 classical Fourier transform 2.1.2 The basic properties of the Fourier transform 2.1.3 Fast Fourier Transform 2.1.4 short time Fourier transform 2.2 wavelet analysis and multi-resolution analysis of the history of 2.3 Wavelet Analysis and comparison of the Fourier transform 2.4 Wavelet Transform 2.4.1 Continuous Wavelet Transform 2.4.2 Discrete Wavelet Transform 2.4.3 Continuous high-dimensional wavelet transform 2.5 Common wavelet basis function 2.5.1 wavelet function 2.5.2 Department of wavelet function 2.5.3 Complex Wavelet 2.6 Construction of compactly supported wavelets normal More than 2.7 resolution analysis and wavelet construction 2.8 Analysis of Wavelet Packet 2.8.1 Definition and properties of wavelet packet 2.8.2 wavelet packet decomposition space 2.8.3 Wavelet Packet Algorithm)