san-zhen-cha-fen

运用openCV编写的C++图像色彩转移程序，原理是先转化到Lab图像，再保持L不变调整图像的a、b分量的均值跟方差。(Using openCV prepared C++ image color transfer process, the principle is first converted to Lab image, and then adjust the image to keep L constant a, b, with the mean variance component.)

利用Hough变换，可以检测图像中的多条线段，效果很好(using hough transform for line detection)

Retinex代码，图像增强，是一种比较新的算法，算法很新颖 (Retinex code, image enhancement, is a relatively new algorithm is novel)

sar 图像边缘检测算子，代码简洁，能够运行成功。(sar image edge detection，it s simple and useful 。)

利用已知的平坦道路的视差图，得出uv方向的直方图，并且求出直线(The histogram of the UV direction and the straight line are obtained by using the disparity map of the known flat road.)

说明：  思想：把原始图的直方图变换为均匀分布的形式，这样就增加了灰度值的动态 范围从而达到增强图像整体对比度的效果。其优点是能自动地增强整个 图像的对比度。 1、对灰度图像进行直方图的均衡化处理，达到图像增强的目的。 2、利用平均滤波和中值滤波对图像进行平滑滤波。 3、利用拉普拉斯运算对图像进行锐化滤波。(Idea: transform the histogram of the original image into the form of uniform distribution, so as to increase the dynamic gray value Range to enhance the overall contrast of the image. Its advantage is that it can automatically enhance the contrast of the whole image. 1. The gray image is processed by histogram equalization to achieve the purpose of image enhancement. 2. Average filter and median filter are used to smooth the image. 3. Using Laplace operation to sharpen the image.)

说明：  基于Online Learning for Matrix Factorization and Sparse Coding的在线字典学习算法，本压缩包为作者的源代码(The online dictionary learning based on the paper "Online Learning for Matrix Factorization and Sparse Coding". This compression package is the author's source code.)

3种分别基于选择、交叉、模拟退火的混合粒子群算法，matlab编程。(Were based on three kinds of selection, crossover, hybrid particle swarm simulated annealing algorithm, matlab programming.)

yuv420 to_yuv420p 程序(yuv420 to_yuv420p )

实现BM3d denoising的源代码。 (BM3d denoising implementation source code)