workspace03_PSNR

说明：  图像去噪，降低图像的噪声，提高图像PSNR(image denoise,improve the psnr of image)

基于高阶互信息的医学图像配准算法 基于高阶互信息的医学图像配准算法代码(High-level mutual information based medical image registration algorithm based on mutual information of high-end medical image registration algorithm code)

数字图像的渐进式传输，采用掩膜矩阵进行基本层和增强层的划分(Progressive transmission of the digital image, the base layer and enhancement layer is divided by using the mask matrix)

基于图割的图像分割的实现代码，在linux下测试通过(efficient graph cut source code，run in linux)

Add watermark to image The program provide the interface to the user that the watermark can be easily added to the image

自己用python复现的NL-mean去噪，备注比较详细，便于理解原理； 之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle. We will try to reproduce more classical papers in the field of image.)

用PHD滤波的方法实现多目标跟踪，及对PHD滤波性能的检测。(PHD filter method using multi-target tracking, and performance testing for the PHD filter.)

说明：  该课题为基于MATLAB平台的PCA的人脸识别图像考勤系统。传统的人脸识别都是直接人头和人头的对比，现实意义不大，这块都做烂了，不易通过毕设答辩，而且论文不好写。该课题识别原理为：从一副生活照中寻找到人脸，并且分割人脸图象，利用PCA算法进行降维，和库里图片进行对比，输出目标人脸以及记录识别的时间，可以统计人脸打卡的当月次数，从而统计出勤率。该课题还可以继续二次开发，做成库内外人脸的识别，如果是库外人脸则实现报警。GUI界面有清除数据功能，统计工资等功能。(This project is based on the MATLAB platform PCA face recognition image attendance system. The traditional face recognition is the comparison of direct head and head, which is of little practical significance. This part is not easy to pass the final defense, and the paper is not easy to write. The recognition principle of this subject is: find the face from a living picture, segment the face image, reduce the dimension by PCA algorithm, compare with the library picture, output the target face and record the recognition time, and then count the number of times in the month when the face is punched, so as to count the attendance rate. The subject can also be further developed to make face recognition inside and outside the database. If it is outside the database, the alarm can be realized. The GUI interface has the functions of data clearing and salary statistics.)

用于图像处理中的感兴趣区域的提取，以便对物体进行识别(extract the ROI in image process)

采用最大后验（MAP）算法来实现图像的超分辨率算法(The super-resolution algorithm using the maximum a posteriori (MAP) algorithm to achieve image)