sar-image

说明：  (1)利用matlab函数进行噪声模拟，并用matlab自带函数进行图像滤波。 (2)利用给定图像自己编程实现使用均值滤波器、中值滤波器对不同强度的高斯噪声和椒盐噪声，进行滤波处理，并对结果进行评价分析，并解释结果。 (3)自己编程实现laplacian算子图像的处理，实现图像增强；编程实现sobel算子对图像边缘提取。将结果与matlab自带函数计算结果比较。 (4)利用模糊处理对图的灰度值进行改变实现灰度增强，并与直方图均衡结果比较((1) Matlab function is used to simulate noise, and Matlab function is used to filter image. (2) Using the given image, we use the mean filter and median filter to filter the Gaussian noise and salt and pepper noise with different intensities, evaluate and analyze the results, and interpret the results. (3) The image processing of Laplacian operator and image enhancement are realized by programming Sobel operator is used to extract image edge. The results are compared with those of MATLAB. (4) Fuzzy processing is used to change the gray value of the image to achieve gray enhancement and balance with histogram)

说明：  “求RGB转HSI空间小程序.m”为主函数调用rgb2hsi.m，由于matlab没有自带这个函数，所以自编了一个，用于进行阴影去除。( Seeking RGB to HSI space program. M the main function call rgb2hsi.m, as a result of matlab does not own this function, so a self-compiled, used for shadow removal.)

一种快速的基于传输方程的图像修复算法。参考文献：FAST IMAGE INPAINTING BASED ON COHERENCE TRANSPORt(A fast transfer equation-based image restoration algorithm. References: FAST IMAGE INPAINTING BASED ON COHERENCE TRANSPORt)

说明：  自己上课编写的NCC sad图像匹配的代码(NCC sad image matching code prepared in class)

基于全变分的图像复原方法程序，还有全变分的理论课件，可以进行实验的！(Image restoration method based on the variational procedure, and the variational theory of courseware, can carry out the experiment.)

关于数字图像一些典型隐写的隐写分析。隐写、分析和提取的讲解(Steganalysis of Some Typical Steganography in Digital Images)

encryption and decryption of image using bit XOR..

学习使用OpenCV，对输入的一段彩色视频，用OpenCV实现以下功能或要求: 1. 对输入视频的每一帧图像都用同一个阈值进行二值化； 2.在每帧二值化图像上叠加上含自己学号与姓名等信息的版权字幕； 3. 在处理的过程中，实时显示每帧图片处理之后的效果； 4.将所有这些二值化图像按视频原来顺序合成输出一个视频文件，按原输入视频播放速度的两倍合成； 5. 做成如下的命令行格式，xxx.exe 输入视频文件名 二值化阈值 输出视频文件名（例如 MyBiVideo.exe input.avi 50 output.avi ） 这里的二值化有两种选择，可以手动收入阈值，也可以直接用OTSU算法的较优阈值直接二值化。(Learn to use OpenCV, for some color video input, with the OpenCV following functions or requirements: 1. Each frame of the input video images are binarized using the same threshold value 2. superposed on the binarized image of each frame containing the copyright on the number and the name of their own learning subtitles other information 3. During processing, real-time display after processing each frame 4. All of these binarized image by synthesizing the video output of a video sequence of the original document, the original input composite video playback speed twice 5. made the following command line format, xxx.exe input video file name binary threshold value of the output video file name (eg MyBiVideo.exe input.avi 50 output.avi) Here there are two binary choice, you can manually income thresholds, you can directly use the optimum direct binarization threshold through OTSU algorithm.)

说明：  双边滤波能运行，滤波去噪。。。。。。。。。。。(bilateral filter noise ..)

jpeg转bmp的C语言程序,可运行在arm环境(bmp jpeg turn the C language program can be run in the arm environment)