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BTC的基本方法,并且编程实现,显示,观察编码后的图像,推荐给大家(BTC basic method and programming implementation, display, observe the encoded image, recommend to everyone)

将灰度图像装换成rgb图像的Matlab实现(transfer the gray image to rgb one)

说明：  标准图像库，里面有国际上通用的标准图像，用于图像处理(Standard image library, which has a common international standard image)

说明：  基础距离多普勒算法的实现，包括机载星载点目标仿真和实测数据仿真(The realization of the basic distance doppler algorithm includes the simulation of airborne spaceborne point target and the simulation of measured data)

Read one DICOM file with vtk bib

带运动估计的时域滤波，一种基于小波的运动估计方法，可以有效的去除视频流的帧间冗余。与传统的帧参考模式的运动估计相比，没有错误漂移现象。内含编码器和解码器。(Belt Movement estimated time domain filtering, a wavelet-based motion estimation methods, can effectively remove the inter-frame video stream redundancy. With the traditional frame of reference than the motion estimation, no errors drift phenomenon. Intron encoder and decoder.)

产生正弦信号，加入高斯白噪声，并用小波方法去噪(Produce sine signals, add white gaussian noise, and wavelet denoising method )

基于harris兴趣点的图像检索程序。先特征提取，进而进行特征匹配，最后还有结果的返回。(Harris points of interest based on image retrieval process. First feature extraction, feature matching and then carried out and, finally, the results returned.)

说明：  机器学习专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技 能，为包括人脸识别领域的人工智能的发展做出了极大的贡献。本文探索如何应用机器学习中的一些技术，使计算机更好地完成人脸识别领域中的人脸检测和人脸验证。 在人脸检测方面，针对如何快速、准确地检出人脸的问题，基于DLIB中特征模型，可以快速提取检测出人脸，并且提取出人脸特征点,主要作用就是快速检测定位人脸。在训练过程中，引入了ResNet机器学习算法，该算法采用多层卷积神经网络结构，对人脸进行多层特征提取和描述，得到人脸特征描述符。通过测试可以证实了上述方法能够检测和识别人脸。(In terms of face detection, for the problem of how to detect faces quickly and accurately, based on the feature model in DLIB, you can quickly extract and detect faces, and extract face feature points, the main role is to quickly detect and locate faces. In the training process, the VGG-FACE machine learning algorithm is introduced. This algorithm uses a multi-layer convolutional neural network structure to perform multi-layer feature extraction and description on the face to obtain the face feature descriptor. Tests can confirm that the above method can detect and recognize human faces.)

内容认证半脆弱水印算法的研究与实现,本程序实现图像的半脆弱水印，是基于DCT的算法，特别适合研究半脆弱水印的同志(Content authentication semi-fragile watermarking algorithm for Research and Implementation of, the procedures for the realization of the semi-fragile watermarking images is based on the DCT algorithm, especially appropriate to study the semi-fragile watermarking comrades)