CASSI

图像修复是图像复原研究中的一个重要内容, 它的目的是根据图像现有的信息来自动恢复丢失的信息，其可以用于旧照片中丢失信息的恢复、视频文字去除以及视频错误隐藏等。(Image restoration image restoration is an important part of the study, its purpose is to present the information according to the image to automatically recover lost information, which can be used for missing information in the old photo restoration, video, text and video error concealment removal .)

抗旋转攻击的数字水印方法，其鲁棒性和不可视性都有很强改进，尤其在抗旋转攻击方面。(Digital watermarking anti-rotation attack, its robustness and visibility has a very strong improvement, especially in the anti-rotation attacks.)

CSS对边缘图像进行特征点提取然后用改进的NCC算法进行匹配(Using CSS in edge to extract image feature point and then using the modified NCC to match)

程序包括三种经典的边缘检测方法，均可独立运行，参数可调(Program includes three classical edge detection methods can be run independently, adjustable parameters)

现对图像进行边缘提取，然后利用霍夫变换提取图像中的圆环(Is image edge extraction, and then extracted using Hough transform image circle)

利用位图图像中的冗余数据位，将小文件嵌入到大的图像文件中，并保持原图像不变。(The use of bitmap images in the redundant data bit will be embedded in small files to large image files, and to maintain the original image unchanged.)

给出了偏微分方程的径向基函数配点法的数值解法，进行了数值模拟，并且给出了图形(The numerical solution of the radial basis function with partial differential equation method, numerical simulation, and gives the graphic )

混合高斯前景提取。数学建模时编的，测试视频就在包内，可以作为学习交流用，环境2014a的matlab，后有添加形态处理都在注释里。一起学习。有matlab编的vibe程序欢迎交流(Hybrid Gauss foreground extraction. Mathematical modeling of the series, the test video is in the package, can be used as a learning exchange, the environment 2014a MATLAB)

细节增强的直方图均衡法，在增强图像对比度的同时还能保留细节细心，避免了细节吞噬现象(Detail enhancement, histogram equalization, but also retained the same time enhance the image contrast details carefully, to avoid the details of phagocytosis)

说明：  计算GIF彩色图像的差异，两幅图像大小一致且调色板一致。其中Psnr 为两幅图像的psnr值.P 为两幅图像之间像素索引不同的索引值占图像大小的比例。(GIF image color difference calculation, the two images the same size and same color palette. One Psnr the two images psnr value. P index for the pixels between two images, the index values of different ratio of total image size.)