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基于matlab的高斯金字塔算法，和一般的算法不同，此算法非常详细，逐步编写(Gaussian pyramid matlab-based algorithm, and the different algorithms, this algorithm is very detailed, step by step to prepare)

基于压缩感知的图像恢复重建的实验源代码以及相关图片及文件(Compressed sensing image reconstruction experiment source code and related images and documents)

一种基于形貌特征识别圆形的方法，通过拟合圆方程来实现的经典hough变换方法(A method of Circle Recognition Based on morphological features is introduced. The classical Hough transform method is implemented by fitting the circle equation.)

计算haar尺度函数和小波基系数矩阵，用于数值计算，如解偏微方方程，自己编写的。(Computing haar wavelet scaling function and the coefficient matrix for the numerical calculation, such as the solution of partial differential equations side, I have written.)

说明：  一种基于tv模型的彩色图像修复方法，效果很好(Tv model based on color image restoration)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

使用cnn提取图像特征，然后用SVM分类，此处没有给出训练集，另外imagenet-caffe-alex部分代码需要注意，需要下载的话把注释掉的代码打开(Using CNN image feature extraction, and then use the SVM classification, there were no given training set, also need to pay attention to imagenet-caffe-alex part of the code, you need to download the commented code open)

压缩文件是CNN卷积神经网络图像处理的数据库mnist_uint8.mat(Compressed file is the database of CNN convolution neural network image processing mnist_uint8.mat)

赵巨峰，陶小平，*冯华君，徐之海，李奇, 基于梯度的波纹图像质量评价 [J], 浙大学报工学版, 2010, 44(5):870-874.(Gradient based ripple image quality assessment)

MD5 algorithm can be directly called debugging no problem not subject to environmental restrictions