Fragile-watermarking-based-on-DWT

说明：  用于MATLAB的支持向量机的工具箱，用于训练与验证(Support vector machine (SVM) for MATLAB toolbox, used for training and validation)

易语言图片按钮放大源码，易语言写的图形图像编程，很好的参考。(Easy language source code easy to picture button zoom, image language programming, a good reference.)

这是matlab视频图像处理中提取图像并将其转化为灰度图像的m文件,这是图像处理中的第一步(This is a matlab video image processing to extract images and translate them into gray image of m documents, this is the first step in image processing)

暗原色先验的视频去雾算法 matlab实现(the code of defog using dark-chanel prior algorithm)

图象特征的边缘轮廓提取算法，对初学者很有帮助。(characteristics of the image edge contour extraction algorithm, useful for beginners.)

使用matlab搭建神经网络，从单目图像中估计深度值(Using matlab to build a neural network to estimate depth from monocular images)

Images of diffraction

对普通的粒子滤波和一种改进的粒子滤波算法进行比较，证明改进算法优越性(Of ordinary particle filter and an improved particle filter for comparison, to prove the superiority of improved algorithm)

完成车道线检测，且运行效率高，附带图片测试(it has a high performance over lane detection, and leave pictures for testing)

C++ code implementing the estimation of errors-in-variables models under point dependent noise. It includes examples for linear, ellipse, fundamental matrix and trifocal tensor estimation. The theory is described in A general method for errors-in-variables problems in computer vision(err)