用LSB的方法，实现了信息的隐藏和提取。

实现一个简单的ALU,不是特别好，请指教！-impletation Of a very simple alu not very good, just for refference

粒子滤波matlab程序，主要是扩展的卡尔曼粒子滤波-Particle filter matlab program, mainly extended Kalman particle filter

（1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 -(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.

图像的预处理程序，本程序包含图像增强，锐化，直方图均衡化和图像变暗-Image preprocessing procedure, the procedure includes image enhancement, sharpening, histogram equalization and image darken

本程序实现全变分(Total Variation, TV)的去噪算法，它使用了PDF纠正TV算法中的小问题。该算法可以很好地保留原图边缘信息的同时，去除噪声。-This procedure Variational realize the whole (Total Variation, TV) denoising algorithm, which uses a PDF corrective TV algorithm of small problems. The algorithm is well positioned to retain the image edge information at the same time, to remove noise.

基于pca降维的特征不变特性变换方法（sift），希望对研究特征提取的朋友有帮助！-PCA dimensionality reduction based on the characteristics of the same characteristics of transformation method (sift), hope that the study of feature extraction has to help a friend!

7个不变矩的在Matlab中的实现，提供代码供大家参考。-Seven invariant moments of the realization in Matlab to provide the code for your reference.

用matlab自己编的同态滤波器,附有实验图片-developed using Matlab with the state filter, with experimental Photo

图形图像处理的简单应用，实现灰度翻转，增亮，等等。-Simple graphics image processing applications, to achieve gray-scale inversion, Zengliang, and so on.