著名的图像修复代码。

用hough变换检测圆形，算法实现比较简单，用matlab编写，容易读懂，已经过测试-using hough transform to detect circle

对图像分析编辑中的噪声干扰进行过滤，正确无误，-Edit Image Analysis of noise in the filter are correct,

仿射变换法求深度信息，目前最好的方法 function [Z,D11,D12,D22] = diffusion_kernel_function(gx,gy,im) gx,gy 为x,y方向偏导数 Z 为恢复出来的是深度信息。 函数适应于从 图像法相信息恢复高度信息-Affine transformation method the depth of information, is currently the best way to function [Z, D11, D12, D22] = diffusion_kernel_function (gx, gy, im) gx, gy for x, y direction of the partial derivative of Z is out to restore the depth of information. Function adapted from the image information to resume a high degree of information law

提取纹理特征，现在最流行的是gabor小波变换，它的集具有一定的方向性，和纹理特征吻合-Extraction of texture features, and now the most popular is the gabor wavelet transform, it sets a certain direction, and texture characteristics of anastomosis

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camera_auto_focus_system_base_on_ImageProcessing 基于图像处理的相机自动调焦系统-camera_auto_focus_system_base_on_Ima geProcessing based on image processing camera auto-focusing system

是图形学中经典的活动边表的算法，老师评价破高的-Graphics is the classic side table algorithm, the teacher evaluation breaking high

速度非常块，效果接近blsgsm。堪称去噪的又一突破。 OWT SURE-LET SOFTWARE FOR MATLAB ******************************** Florian Luisier, Thierry Blu and Michael Unser Biomedical Imaging group Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland. March 2007 This software implements the algorithm described in: [1] F. Luisier, T. Blu, M. Unser, "A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding," IEEE Transactions on Image Processing, vol. 16, no. 3, pp. 593-606, March 2007. -Very block, the effect close to blsgsm. Denoising can be another breakthrough. OWT SURE-LET SOFTWARE FOR MATLAB******************************** Florian Luisier, Thierry Blu and Michael UnserBiomedical Imaging group Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland.March 2007This software implements the algorithm described in: [1] F. Luisier, T. Blu, M. Unser,

彩色图像分类程序，包括R,G,B分类，HSV分类，完全自己开发，带GUI-color image classification procedures, including R, G, B classification, HSV classification, completely on my own development, with GUI

bandelet 去噪，包含blsgsm和平移不变去噪，不过对大图像需要的内存比较大-bandelet denoising, including blsgsm and translation invariant denoising, but for large images need more memory