EZW

说明：  这是基于matlab的一个视频控制程序，他可以一次控制10个摄像头，并可将其拍照的程序进行保存(This is a video based on matlab control program, he could control the camera 10, and the procedure to save the pictures)

利用直方图双峰法选取适当阈值对图像进行二值化处理。此法只适用于直方图为双峰状图像。(Using the Shuangfeng method to the appropriate threshold histogram of image processing two values. This method is only applicable to the histogram of image of Shuangfeng.)

完成声音信号的分帧，加窗，PLCC特征提取等功能(Complete voice framing, windowing,PLCC detection and other functions)

基于RANSAC算法的图像匹配过程，包括提出该算法的文章以及文章中所提到的所有程序代码，可以实现具有高度异常点的图像匹配过程。(RANSAC algorithm based on image matching process, including all the program code of the algorithm proposed article and the article mentioned, the image matching process can be achieved with a high degree of abnormal points.)

对图形的旋转 有不错的效果 可以试试 让图形从左到右(Rotation pattern has a good effect can try)

论文+ppt，我的数字图像处理课程设计，题目是基于均值滤波和小波分析的图像去噪方法(Thesis+ppt, digital image processing course design, subject image denoising method based on mean filter and wavelet analysis)

陷波滤波器，可调节陷波频域位置，可调节陷波大小，函数，可直接调用，由高斯，理想，巴特沃斯组成。(notchfilter, which is suitable for digital image processing in frequency domain. Notch filter, adjustable notch frequency domain position, adjustable notch size, function, can be called directly, composed of Gauss, ideal, Butterworth.)

对图像进行分块处理，可以设置分块比例，该程序设置的是8*8的比例，将图像分成64块(The image processing block, you can set the ratio of the block, the program is set proportion of 8* 8, the image is divided into 64)

压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法(DAL solves the dual problem of (1) via the augmented Lagrangian method (see Bertsekas 82). It uses the analytic expression (and its derivatives) of the following soft-thresholding operation， which can be computed for L1 and grouped L1 (and many other) sparsity inducing regularizers. If you are interested in our algorithm please find more details in our technical report or in my talk at Optimization for Machine Learning Workshop (NIPS 2009).)

说明：  带颜色恢复的MSR代码，可直接在MATLAB上调用。(MSR code with color recovery can be called directly on MATLAB.)