ROIDraw

课程作业，可视密码的matlab实现代码以及展示用ppt(Course work, visual cryptography matlab code and display ppt)

盲水印提取时不需要参考原始载体图像,在信息隐藏、版权保护等方面具有更广泛的应用前景。提出的盲水印算法在分块离散余弦变换(DCT)和离散小波变换(DWT)的基础上,利用关系双方DCT系数和DWT系数在受到攻击时具有相同变化趋势的特点,采用关系嵌入和量化嵌入的自适应选择嵌入策略,较大幅度地提高了盲水印提取的鲁棒性。同时在量化嵌入中采用抖动调制,实现了水印透明性和鲁棒性调节的便捷性。大量仿真实验结果表明该算法对噪声干扰、低通滤波、JPEG压缩、对比度增强等攻击有很好的鲁棒性和透明性。关键词 数字水印盲水印关系嵌入量化嵌入离散余弦变换离散小波变换 按这篇文章的算法，自己编的matlab,没有攻击时水印提取率为1，加水印后图像PSNR有45+，。有攻击后提取率也有0.9+。(Blind watermark extraction can be fulfilled without referring to the original host image. Therefore it hasmuch prospective applications in the fields of information hiding and copyright protection. Based on blocking Discrete Cosine Transform (DCT) and blocking DiscreteWaveletTransform (DWT), the proposed blind watermarking algorithm uses an embedding strategy of adaptively selecting either relationship embedding or quantization embedding. The relationship em- bedding comes from the observation thatboth themagnitudes of coefficients concerned in the relationship usually have thesame change trend when the image is attacked. This strategy remarkably improves the robustness ofwatermark extraction.In addition, dithermodulation is used in quantization embedding, bywhich the tradeoff between transparency and robus-tness ofwatermarking can be easily adjusted. Simulation results show that the algorithm is fairly robust against the attacks such as noise, filtering, compression, and contrast )

五种粒子滤波仿真，便于初学者学习粒子滤波算法(Five particle filter simulation, easy for beginners to learn particle filter)

说明：  matlab工具箱，用于构建和重建可分离的正交可操纵金字塔。(a matlab toolbox for building and reconstructing separable quadrature steerable pyramids.)

本文提出了一种单相三线（143W） 电网连接photovoItaic（PV）逆变电源与功能 部分有源电力滤波器（武警部队），它不仅可以处理 光伏发电，但过滤电流谐波，提高功率因数。(This paper presents a single-phase three-wire (14 3W) grid-connection photovoItaic (PV) power inverter with a feature of partial active power filter (PAPF), which can not only deal with PV power but filter current harmonics and improve power factor. )

说明：  polsarpro官方学习教程，系统的说明了polsarpro软件的操作使用，可进行树高反演，地物分类，已经森林模拟数据生成(polsarpro tutorial note)

本源代码是自己编写的关于图像小目标的检测（matlab版），其中包括对不同对比度、信噪比下的图像小目标进行检测。(The source code is written about the image of his small target detection (matlab edition), including the different contrast, signal-to-noise ratio of image detect small targets.)

运动模糊图像的复原，涉及运动图像的模糊方向和模糊尺度的确定，然后运用维纳滤波(motion blur image recover)

图像的检测消失点，运用到边沿检测，霍夫变换等(vanishing point detection)

说明：  医学图像图像配准方法，采用了经典的基于灰度的方法。(This is a general purpose registration method for medical images. )