模糊图像复原

说明：  基本卡尔曼滤波算法，用于目标跟踪，适用于毕业论文设计及工程人员参考 这个比较简单 易懂(The basic Kalman filter algorithm for target tracking, for design and engineering thesis is simple and easy to understand this reference)

连续投影算法适合初学者使用，可以对光谱数据进行变量选择。(Continuous projection algorithm for beginners to use, you can the spectral data variables.)

matlab检测直线交点源程序在matlab6,5下已调试通过 不错的(Matlab detection line intersect point source in matlab6, have been debug through good under 5)

干涉SAR图像配准程序，matlab编的，很好用！(Interferometric SAR image registration procedures, matlab, and easy to use!)

将dct生成的8*8块图像数据进行zigzag排序，以及恢复算法，在脆弱水印中使用。(The program zigzag sort 8*8 image data generated by dct, and restore algorithm, which is used in fragile watermarking.)

实现了图像的加水印，去噪，加噪声等功能，小波包分析提取振动信号中的特征频率，是机器学习的例程。( Realize image watermarking, de-noising, plus noise and other functions, Wavelet packet analysis to extract vibration signal characteristic frequency, Machine learning routines.)

说明：  该代码是图像处理中块匹配的全搜索算法，是用来估计和计算运动矢量的。(The image processing code is the full search block matching algorithm is used to estimate and calculate the motion vector.)

说明：  虚拟示波器实现示波器的功能 数据采集 处理 存储(Virtual oscilloscope)

SDK_key: 人脸追踪(FT) Key 5qTrdeA43zdBXJZt7HM1x1wX9XGt7QicRU6Nt8rXLQAn 人脸检测(FD) Key 5qTrdeA43zdBXJZt7HM1x1weJvY2koYyzGARH6wVoTVw 人脸识别(FR) Key 5qTrdeA43zdBXJZt7HM1x1wmUKoEpvhgJYHd5xAsFig3 年龄识别(Age) Key 5qTrdeA43zdBXJZt7HM1x1xPHL78Ekcog6LU5iNCCNLj 性别识别(Gender) Key 5qTrdeA43zdBXJZt7HM1x1xWSjNHHcbTHHP9VuHLX1rf 此处APP_Id与SDK_Key仅适用于ArcFace v1.1， 不适用于其他版本。(DK_key: Face Tracking (FT) Key 5qTrdeA43zdBXJZt7HM1x1wX9XGt7QicRU6Nt8rXLQAn Face Detection (FD) Key 5qTrdeA43zdBXJZt7HM1x1weJvY2koYzGARH6wVoTVw Face Recognition (FR) Key 5qTrdeA43zdBXJZt7HM1x1wmUKoEpvhg JYHd5xAsFig3 Age Identification (Age) Key 5qTrde A43zdBXJZt7HM1x1xPHL78Ekcog 6LU5iNCCNLj Gender Key 5qTrdeA43zdBXJZt7HM1x1xWSjNHcbTHHP9VuHLX1rf Here APP_Id and SDK_Key are only applicable to ArcFace v1.1, not to other versions.)

自己编的基于小波变换的图像融合程序。可进行不同层数小波分解。(developed based on the wavelet transform image fusion procedures. Can be different floors wavelet decomposition.)