audio-watermark

用于图像融合的IHS变换方法的比较的相关论文(IHS transform for image fusion method of comparison of the relevant papers)

这是一个关于图割算法（graphcut）的MATLAB代码实现的。实现了用MATLAB来实现的参数估计，并且可以用于三维重建。(Here is a graph cut algorithm (graphcut) of the MATLAB code implementation. Achieved using MATLAB to implement the parameter estimation, and can be used for three-dimensional reconstruction.)

基于RADON变换的。运动模糊处理，其中程序请按说明使用(Based on the RADON transform. Motion blur processing, in which procedures follow the instructions to use)

这是TV模型最新的快速计算Matlab源代码，算法可以解决很多非线性扩散方程的计算。稳定性高，计算快。(This is the latest TV models fast calculation of Matlab source code, the algorithm can solve a lot of non-linear diffusion equation calculations. High stability, fast calculation.)

这是一个工具箱，可以对经过平行视觉处理之后的图片进行三维重建，得到视差图。GUI操作，简单易懂，功能强大。(This is a toolbox which can reconstruct the 3D picture(stereo matching or stereo construction) with 2 pictures from parallel view. You can finish the process with GUI easily. )

该程序是指纹分类源码，其中计算方向场部分MATLAB源码(The program is fingerprint classification code, which calculate the direction of the field part of the MATLAB source code)

说明：  vc++调用matlab函数混合编程实现二值图像的区域标记。(vc++ call matlab function Matlab binary image of the regional markers.)

提供了两种光照补偿的方法进行比较，一种是参考白，一种是非线性补偿，并添加了直方图比较和参考文档。(Offers two illumination compensation methods were compared, one is the reference white, one is non-linear compensation, and adds a histogram comparison and reference documentation.)

EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (ED)算法包含以下步骤： （1）采用size=5*5,σ=1的高斯核对灰度图像进行平滑滤波，去除噪声； （2）采用一种常用的梯度算子，如Prewitt、Sobel或Scharr等计算平滑后图像中每个像素点的梯度幅度和梯度方向； （3）将梯度图中邻域内幅度最大的像素点标记为锚点，这些锚点成为图像边缘点(edge elements)的概率很大； （4）将相邻的锚点连接成边缘线。从一个锚点起始，ED利用相邻像素的梯度幅度和方向在梯度为最大值的锚点之间游走。 (Edge Drawing (ED) is our recently-proposed, novel, fast edge detection algorithm. What makes ED stand out the existing edge detectors, e.g., Canny, is the following: While the other edge detectors give out a binary edge image as output, where the etected edge pixels are usually independent, discontinuous entities ED produces a set of edge segments, which are clean, contiguous, i.e., connected, chains of edge pixels. Thus, while the output of the other edge detectors requires urther processing to generate potential object boundaries, which may not even be possible or result in inaccuracies ED not only produces perfectly connected object boundaries by default, but it also achieves this in blazing speed compared to other edge detector.)

于傅里叶变换的图像加密技术研究 具体是将一幅图像用 fft 变换到频域 在频域中进行加密 我考虑的是通过随机相位来加密的方法，请问用matlab怎样实现 加密后在通过 ifft 得到加密后的图象 (Fourier transform in the image encryption technology to study the details of an image is to use fft transformed to the frequency domain in the frequency domain I consider encryption is through random-phase approach to encryption, Will the use of Matlab how to achieve the adoption of encryption ifft be encrypted images)