compressive-sensing

采取逆滤波和维纳滤波两种图像恢复算法对退化图像的恢复实现过程。 (taken inverse filter and two Wiener filtering algorithm to image restoration of degraded images to achieve the restoration process.)

注意机制，显著图提取，使用PCA算法！效果理想。(Attention mechanism, saliency map extraction, using PCA algorithm! Effect ideal.)

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)

图像分割 基于区域的分离和合并 实例 自己写的(SPLITMERGE Segment an image using a splil-and-merge algorithm.)

人脸图像质量评价体系介绍，非常全面，此方面研究的不错入门资料(Face image quality assessment system introduced, very comprehensive study in this regard a good introductory information)

SIFT代码，多用于图像拼接，匹配精度高(sciences code used for image stitching, matching high accuracy)

汽车车牌数字识别（上个学期的数字图像处理的课程设计），能运行(Automobile license plate number identification (the last semester of digital image processing course design), can run)

盲反卷积算法复原图像的代码,带注释,适合初学者学习(Blind image restoration code, with comments)

压缩文件是CNN卷积神经网络图像处理的数据库mnist_uint8.mat(Compressed file is the database of CNN convolution neural network image processing mnist_uint8.mat)

提出了一种基于非下采样Contourlet 变换的自适应图像去噪方法 首先对噪声图像进行非下采样Contourlet 变换，得到各 个尺度各个方向子带的系数，再根据该系数的能量自适应地调整去噪阈值 实验表明，与Contourlet 多尺度阈值去噪 Contourlet 自 适应阈值去噪相比，该方法在保留图像边缘细节的同时，能提高图像的PSNR 值，减少了Gibbs 现象(A new adaptive method of image de-noising based on NonSubsampled Contourlet Transform （NSCT）is presented.Firstly， the noisy image is decomposed into a set of multiscale and multidirectional frequency subbands by NSCT， and then the threshold is adapted automatically according to the energy of subband coefficients.Compared with the multi-scale threshold using contourlet transform and using adaptive threshold based on contourlet transform， the simulation results show that the performance of this method is superior in PSNR， meanwhile it can maintain the image edge and reduce the Gibbs phenomen)