lwt

一种小波分解，用于多分辨率分解，在分解的过程中，同时给出各级的细节和概貌。(a trous wavelet decomposition)

这是基于二进小波变换的图像增强matlab源代码，通过编译。(this is a sound code of image enhancement based on dyadic wavelent ,by translate and edit )

复杂杂波背景下，海面红外图像中舰船目标检测的关键是如何降低虚警、检测出真正的 目标。为了实现这个目标，首先利用Haar小波函数进行小波变换，对图像进行预处理；然后进行恒 虚警检测（CFAR）；第三步采用行程法对检测的目标进行标记；最后采用管道滤波法剔出虚假目标， 检测出真正的目标。经仿真实验证明，此方法能有效地降低虚警，在复杂杂波背景中检测出目标。 (The key of ship detection in sea infrared image with complex clutter background is how to reduce false alarms and detect true targets.In order to achieve this aim,a novel algorithm is proposed. First,Haar wavelet transform technology is used as preprocessing,then constant false alarm rate(CFAR) detetion,then run-length label to mark objects detected by the above step,finally pipeline filter to reduce false alarms and detect true targets.Experiment results indicate that this method can effectively reduce false alarms and detect true targets in complicated sea background. )

Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while bivariate shrinkage is adapted to their multiscale decomposition structure to provide the requisite sparsity constraint. Smoothing is achieved via a Wiener filter incorporated into iterative projected Landweber compressed-sensing recovery, yielding fast reconstruction. The proposed approach yields images with quality that matches or exceeds that produced by a popular, yet computationally expensive, technique which minimizes total variation. Additionally, reconstruction quality is substantially superior to that from several prominent pursuits-based algorithms that do not include any smoothing

二进小波和非线性变换的图像增强项目 二进小波和非线性变换的图像增强项目(Image enhancement project based on two in wavelet and nonlinear transform)

与labview之间的联系 在小波变换方面(Contact between labview in terms of the wavelet transform)

某一直升机齿轮箱上的早期损伤的特征是，在伴随振动信号上产生一个可变周期的非平稳扰动信号。要求按此特征构造一组有物理意义的数据仿真早期故障信号，应用小波变换技术分析故障的特征和发生时刻。(a helicopter gearbox early on the characteristics of the injury, In addition to the vibration signal produced a variable cycle perturbation of non-stationary signals. Click here to request a group of tectonic significance of a physical early fault simulation data signals Application of wavelet transform technical analysis of the features and fault occurred moments.)

小波基矩阵乘法快速算法工具箱，里面有目录，供大家学习参考！(Tools for Fast Matrix Multiplication in Wavelet Basis)

实现了高斯混合尺度模型（GSM）算法，可被嵌入到各种去噪框架中（如各种小波变换等）使用。(Gaussian mixture scale model (GSM) algorithm, can be embedded into a variety of denoising framework (such as a variety of wavelet transform, etc.) use.)

说明：  小波变换去噪方法，过滤高频低频波，C++代码(Wavelet transform denoising method, filtering high frequency low frequency wave, C ++ code)