这是一个测试图像峰值信噪比的程序源代码，纯C环境下的

直方图均衡化的实例，大家在对图像对比度增强时必须得用到的经典程序，VC实现，简单易用，带图片可测试。-histogram equalization example, everyone in the image contrast enhancement to be used in the classic procedure, VC, simple and easy to be tested with pictures.

独立分量分析ICA，用于图像处理，程序不错，可以参考-Independent Component Analysis ICA, for image processing, the procedure well, can refer to

Z变换实现低通滤波器，应用广泛，大家一起研究研究阿 -Z transform low-pass filter, the application of a wide range of U.S. studies with the Arab-Israeli

非常好的图形图象处理程序，具有很多滤镜和图象处理方法，功能强大。-Very good graphics image processing procedures, a lot of filters and image processing methods and powerful.

基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法源代码IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS -Based on Bayesian (BAYES) Wavelet thresholding (WAVELET) image denoising algorithm source code IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS

混合高斯模型建模，对视频中背景进行混合高斯建模，在摄像机不动的环境中应用广泛-Gaussian Mixture Modeling of video Gaussian mixture background modeling, at the fixed cameras are widely used environment

数学形态学利里面的灰度腐蚀运算，自己看书写的，通过MATLAB仿真，和标准算法相同。-Lee inside the gray-scale mathematical morphology erosion operation, that looks at writing, through the MATLAB simulation, and standards for the same algorithm

颜色空间变换函数。R,G,B与Y，R-Y，B-Y之间的转化、由亮度、色差变换R、G、B、c_to_sh --色差信号计算饱和度和色调-Color Space Conversion function. R, G, B and Y, RY, BY between the transformation, by the brightness, color transform R, G, B, c_to_sh calculation of color difference signal saturation and hue

二维傅里叶变换、离散余弦变换和小波变换的Matlab实现.-Two-dimensional Fourier transform, discrete cosine transform and wavelet transform of the Matlab implementation.

30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）, 离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像, 图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡.-30 image processing VC++ Source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretching, binarization transformation, anti-color, box encoding, Fourier Transform , Gaussian smoothing, gray balance, mean filter, Laplacian sharpening (edge detection), discrete cosine transform, the brightness increases and decreases in inverse filtering deal, check on the number of check index, the gradient sharpening, image processing, mirror image, image translation, image scaling, image thinning, image rotation, Wiener filtering treatment using Canny edge extraction operator, threshold transform, histogram equalization.