DTCWT

说明：  一种基于tv模型的图像修复方法，经检测代码运行正确，附带实验图片，可以对破损图像有一定的修复效果(Tv model-based image restoration method, the detection code to run correctly, with the experimental picture, can repair the damaged image)

利用傅立叶变换的图像同态滤波，解决光照不均的问题(Use of Fourier transform images homomorphic filtering to solve the problem of uneven illumination)

采用质心算法来计算输入的激光光斑图像的中心位置，开始的时候可以选择图片的名称和路径(Using centroid algorithm to calculate the position of the input laser spot center of the image, you can select the picture at the beginning of the name and path)

这是个criminisi算法的源码，可以对图像进行相应的修补。效果很好。(This is a criminisi algorithm source code, images can be appropriate patch. With good results.)

Ncut的文献及matlab源代码。基于图的分割非常好的一个算法(Ncut literature and matlab source code. Graph-Based Segmentation Algorithm for a very good)

立体视觉中的相机标定程序！很好用的张正友方法标定程序(stereo vision of the camera calibration procedure! Zhang good is the method of calibration procedures Friends)

图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。(Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the texture and structure in regions of missing image information. In order to inpaint the damaged image with both missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently restore the structure and texture information at the same time, and the visual eff)

CFAR的MATLAB程序实现 将目标和杂波有效的分开(cfar matlab)

用matlab仿真，研究不同阈值降噪后的效果，使用penalty阙值降噪后信号，使用Birge_Massart阙值降噪后信号，使用缺省阙值降噪后信号。(Using matlab simulation to study the different threshold noise reduction effect, the use of penalty threshold denoised signal after noise reduction using Birge_Massart threshold signal, use the default threshold signal after noise reduction.)

用于产生离散高斯函数的Matlab源代码。(Discrete Gaussian function used to produce the Matlab source code.)