ImageDivision

压缩感知基追踪算法，实现二维图像的小波变换以及图像重构(Compressed sensing based tracking algorithm, wavelet transform two-dimensional image, and image reconstruction)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SP算法，对256*256的lena图处理，比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间(Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

图像复原代码以及例程，内容很丰富详细。针对于图像盲复原，估计模糊核k，得到复原的清晰图片(The image restoration code and routines are rich and detailed.)

脑电信号 分析 fast ica去噪，去除心电，眼电，肌电，效果不错(fast ica for eeg)

求解图像的穆勒矩阵及其极分解矩阵，还有矩阵分析参数(Muller matrix and polar factorization matrix for solving image)

数字水印参考代码，分别用checksum，lsb，patchwork等方式嵌入水印，并且附带计算信噪比和消除水印的代码(Digital watermark reference code checksum lsb in patchwork way embedded watermark and accompanying calculated signal-to-noise ratio and eliminate the watermark code)

说明：  SAR运动目标成像，包含了多个点目标，结果比较清晰(SAR Moving Target Imaging)

利用图像差分，进行人体跟踪，并记录视频帧中目标的坐标，（PS:没有上传视频模板）(Differential use of image for the human body tracking, and record the video frame in the coordinates of the target, (PS: do not upload videos template))

评价描述子的好坏，能给出重叠率、正确率和查错率等(Evaluation of descriptors)

直方图拉伸是通过对比度拉伸对直方图进行调整，从而“扩大”前景和背景灰度的差别，以达到增强对比度的目的(Histogram stretching histogram is adjusted by contrast stretching, thereby " expand" the difference between the foreground and background of gray, in order to achieve the purpose of enhancing the contrast)