ssim_index

基于DCT方法的数字水印论文5篇，对学习基于DCT方法的数字水印初学者会有帮助。可以了解基于DCT的水印基本方法。(DCT-based method of digital watermarking papers 5, to learn methods of digital watermarking-based DCT would be helpful for beginners. DCT-based watermark can learn the basic method.)

对比CPU和GPU加速，pcl::cuda的使用教程，利用随机采样一致(RANSAC)去除地平面等例子。(Compare CPU and GPU acceleration, pcl::cuda tutorial, using random sampling consistency (RANSAC) to remove ground plane and other examples.)

说明：  基于Online Learning for Matrix Factorization and Sparse Coding的在线字典学习算法，本压缩包为作者的源代码(The online dictionary learning based on the paper "Online Learning for Matrix Factorization and Sparse Coding". This compression package is the author's source code.)

B样条曲线分为近似拟合和插值拟合，所谓近似拟合就是不过特征点，而插值拟合就是通过特征点，但是插值拟合需要经过反算得到控制点再拟合出过特征点的B样条曲线方程。这里会一次介绍两种拟合算法。

非锐化掩膜,用于DR图像的对比度增强算法，这只是一个简单的算法过程，(unsharp masks)

Gerchberg-Saxton算法实现对图像相位的恢复，输入两张图片其中一张作为目标振幅。是对GS算法很好理解的一个程序。(Gerchberg- Saxton, algorithm of image recovery phase, one input two pictures as the target of amplitude.Is a program of GS algorithm is easy to understand.)

说明：  非局部去噪算法-nonlocal denoise 源码(Non-Local Denoising Algorithm-nonlocal denoise source)

多径条件下基于加权空间平滑的阵元幅相误差校正(Multipath based on weighted spatial smoothing array element amplitude and phase error correction)

通过python第三方库和matlab神经网络工具箱实现人脸识别(Face recognition using MATLAB and python through neural network)

Jianchao Yang的经典图像超分辨率程序(Classic image super-resolution process of professor Yang)