Images-denoising--based-on-wavlet

图像去模糊处理，分别运用了维纳滤波器、deconvreg方法、deconvlucy方法、盲反卷积等方法。非常实用(Image deblurring processing, namely the use of the Wiener filter, deconvreg method, deconvlucy methods, blind deconvolution methods. Very useful)

基于互信息的图像配准算法，优化算法采用Powell和粒子群向结合的算法(Based on mutual information image registration algorithm, using Powell optimization algorithm and particle swarm algorithm to combine)

质心点求取，目标进行形跟踪，跟跟踪物体。希望高手指点(Centroid strike, shaped track)

Open-circuit Three-phase SVPWM Modulation of Z-source Inverter

说明：  自己写的位图三态按钮还添加了按钮声音,对自己制作图形界面有很大帮助(Write your own bitmap three-state buttons to add the button sounds right to produce their own graphical interface helps a lot)

图像去雾代码，参考文献《An Investigation of Dehazing Effects on Image and Video Coding》(matlab code for dehazing，reference：<An Investigation of Dehazing Effects on Image and Video Coding>)

说明：  直方图均衡化能自动地增强整个图像的对比度，但它的具体增强效果不好控制，处理的结果总是得到全局均衡化的直方图，对数据的处理不加选择，可考虑采用自适应直方图均衡化（AHE），可改进图像的局部对比度以及获取更多的图像细节。MATLAB代码均可直接运行实现。(Digital image processing histogram equalization,Adaptive histogram equalization)

针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)

Contrast Stretching in Matlab

实验中自己写的enhanceImage，myhisteq，myimhist，并附有详细的文档，可正常运行并详细测试过。(Experiment to write their own enhanceImage myhisteq, myimhist, with detailed documentation, can be normal operation and tested in detail.)