TERCOM

一种基于小波的图像分块处理并且水印嵌入和提取，适合初学者学习使用(Based on wavelet image processing block and the watermark embedding and extraction, suitable for beginners learning to use)

说明：  基于labview的远程数据传输 tcp协议(Remote data transmission based on LabVIEW)

说明：  考虑DCT阈中量化效应，采用8X8的DCT模板，选择量化步长，结合缩放因子进行图像压缩。(Considering the quantization effect in DCT threshold, we use the 8X8 DCT template, select the quantization step, and combine the scaling factor to compress the image.)

用matlab中各种不同方法对模糊图像进行复原，有维纳滤波，盲返卷积，Lucy-richardson方法，规则化复原图像等(Various different methods using matlab fuzzy image restoration, with Wiener filtering, blind convolution back, Lucy-richardson methods, rules-based recovery images, etc.)

说明：  基于MATLAB编程的菲涅尔全息图的再现(Reconstruction of Fresnel hologram based on MATLAB)

图像的自动多阈值分割，可以进行灰度图像的自动分割。(Automatic multi-image threshold segmentation, gray-scale images can be automatically split.)

简单明了地计算两幅图片的相关性，绝对好用，亲身示范(Correlation coffiention)

说明：  基于YCbCr椭圆模型，使用肤色进行人脸检测(use the skin color to detect human-face base on YCbCr modal)

电压跌落是最严重的动态电能质量问题之一， 精确定位电压跌落起止时间是应对电压跌落问题的 重要前提和基础。由于电压采样信号往往有噪声分 量，现有的方法在定位电压跌落的起止时间时存在 局限性。本文提出利用多小波变换及相邻系数去噪 的电压跌落定位方法。多小波兼有对称性、正交性、 有限支撑性和二阶消失矩等优异的信号处理性能， 利用GHM多小波可以准确定位电压跌落起止时间。 多小波变换系数在每层之间具有对应关系，多小波 相邻系数将紧相邻的若干个系数作为一个整体来确 定阈值，考虑了系数之间的相关性，能获得更好的 去噪效果。通过 Matlab 进行仿真验证，仿真结果表 明，所提出的方法的正确性。 (Voltage sag is one of the most serious dynamic power quality problems. Critical start-time and end-time are important indices for voltage sags. But the sampling signals often have noisy component, the locations of start-time and end-time are hard to get. Wavelet is an effective tool for those non-stationary signal processing and has been used in this field. Local feature in the signal can be enlarged after the transformation using the scalar wavelet. But scalar wavelets cannot contain orthogonality, symmetry, compact support and higher order of vanishing moments simultaneously. In this thesis, multi-wavelets GHM is used to detect and locate power quality disturbances. Multi-wavelets offer many excellent properties such as the same approximation order but more compact support. The dependence of the multi-wavelets coefficients varies with the level, so neighboring coefficien)

说明：  可见光影像的密集匹配，很经典的算法，效果也非常理想(image matchingimage matching)