Video_ShakeProof

图像中目标的定位， 边缘检测，检测目标并跟踪，(The positioning of the target image, edge detection, target detection and tracking,)

说明：  MIT的人脸数据库，包括人脸和非人练部分。(face database from MIT)

dtcwt 双树复小波的matlab工具箱,(dtcwt dual tree complex wavelet Matlab toolbox,)

hough变换检测椭圆，先进行二值化检测边缘(hough u53D8 u6362 u68C0 u6D4B u692D u5706 uFF0C u5148 u8FDB u884C u4E8C u503C u5316 u68C0 u6D4B u8FB9 u7F18)

burch型全息图，经测试能正常运行，结果含原图，全息图，再现图(Burch-type hologram, by testing the normal operation, the result with image, hologram, reproduce Figure)

这个函数分配一个数据缓冲区与多个颜色指定系统上的乐队。这种类型的缓冲区允许表示彩色图像(例如,RGB)。 这个函数为每个指定分配缓冲区,一个二维表面颜色乐队。您可以使用MbufAlloc1d()和MbufAlloc2d()来创建单独的乐队一或二维 数据缓冲区,分别。 分配一个缓冲区后,我们建议您检查是否操作成功,使用MappGetError(),或通过验证,不是M_NULL返回的缓冲区的标识符。(This function allocates a data buffer with multiple color bands on the specified system. This type of buffer allows for the representation of color images (for example, RGB). This function allocates buffers that have a two-dimensional surface for each specified color band. You can use MbufAlloc1d() and MbufAlloc2d() to create single band one- or two-dimensional data buffers, respectively. After allocating a buffer, we recommend that you check if the operation was successful, using MappGetError(), or by verifying that the buffer identifier returned is not M_NULL.)

说明：  对图像提取同名点，并根据同名点建立delaunay三角网，后续可进行图像配准，或根据三角网进行控制点筛选(The same name points are extracted from the image, and the Delaunay triangulation network is established according to the same name points. The image registration can be carried out later, or the control points can be selected according to the triangulation network)

说明：  在稀疏域中，基于迭代阈值的线性反转问题，Daubechies 的经典外文文章，用于压缩感知(In the sparse domain, iterative threshold-based linear inversion problem, Daubechies classic foreign language articles for compressed sensing)

图像反卷积 来自D. Krishnan, R. Fergus中提到的方法(image deconvolution The Matlab functions in this directory solve the deconvolution problem in the paper D. Krishnan, R. Fergus: "Fast Image Deconvolution using Hyper-Laplacian Priors", Proceedings of NIPS 2009. )

介绍qbic图像处理工具的详细文档，如有兴趣请看看(Introduction qbic detailed documentation of image processing tools and, if interested please take a look)