利用ADMM和小波进行图像恢复

使用kmeans算法对图像进行分割，先对图像进行了rgb到lab的转换(Use kmeans algorithm for image segmentation, the first image of rgb to lab conversion)

利用SBS产生任意形状滤波器,例如矩形滤波器，高斯型滤波，超高斯滤波器等(SBS to generate arbitrary shape filter, such as a rectangular filter, Gaussian filter, super-Gaussian filter)

说明：  对二维码识别进行预处理的二值化，平滑以及角度和畸变的校正等(qr code pre.)

鼠标滑动截图，截图后 点击winform其它位置 则将图片黏贴到相应位置

图像处理人脸分割,用阈值法进行肤色分割，从而定位人脸(imaging processing)

通过阈值去噪，最关键的就是要确定最佳阈值T 的大小.如果阈值太小，可以保留更多的小波系数，但同时噪声也被保留；相反，阈值太大，可以消除更多的噪声，但重要图像特征又将被滤掉，引起偏差.目前使用的阈值分为全局阈值和局部阈值.全局阈值对各层所有的小波系数或同一层内的小波系数都是统一的；局部阈值则是根据当前系数周围的局部情况来确定合适的阈值，具有灵活性.(Threshold denoising, the most critical is to determine the optimal threshold T s size. If the threshold is too small, you can retain more of the wavelet coefficients, but the noise was retained the contrary, the threshold is too large, can be eliminatedmore noise, but the important image features in turn be filtered out, causing bias current threshold is divided into a global threshold and local threshold. global Threshold the wavelet coefficients of all the wavelet coefficients of the layers or on the same floorare unity local threshold is based on the local situation of the current coefficient around to determine the appropriate threshold, with flexibility.)

用于图像处理-圆检测，可检测多个圆，效果好(For image processing - circle detection, can detect multiple circles, the effect is good.)

jpeg压缩的matlab程序，包括分块，量化，霍夫曼编码，其中量化和霍夫曼编码用查表实现，提高速度。(jpeg compression matlab procedures, including block, quantization, Huffman coding, in which quantization and Huffman coding using look-up table to achieve, improve the speed.)

自己编写的字幕提取代码，matlab简单易用(Caption extraction)

对输入的一张彩色图像，自己写代码实现Harris Corner 检测算法： 1. 不能直接调用OpenCV 里面与Harris 角点检测相关的一些函数； 2. 只能用C/C++，不能用其他语言； 3. GUI 只能用自带的HighGUI，不能用QT 或其他的； 4. 平台可以用Windows， Linux, MacOS； 5. 显示中间的处理结果及最终的检测结果，包括最大特征值图，最小特征值图，R 图（可以考虑彩色 展示），原图上叠加检测结果等，并将这些中间结果都输出成图像文件； 6. 命令格式： “xxx.exe 图片文件 k 参数(=0.04) Aperture_size(=3)”。(The input of a color image, write your own code to achieve Harris Corner Detection Algorithm: 1. Can not be called directly inside OpenCV some functions associated with the Harris corner detection 2. To only use C/C++, can not be used in other languages 3. GUI only with their own HighGUI, can not use QT or other 4. The platform can be used Windows, Linux, MacOS 5. Display intermediate and final results of the test results, including the largest eigenvalues diagram, the minimum feature value graph , R chart (you can consider color display), picture superimposed on the test results, etc., and these intermediate results are output as an image file 6. Command Format: " xxx.exe picture file k parameters (= 0.04) Aperture_size (= 3 ). " )