Gabor

目前生成全息图主要有傅里叶和菲涅尔变换，此代码为利用菲涅尔变换将二维图片生成菲涅尔全息图，以达到图像加密的功能。(The current generated hologram mainly Fu Liye and Finel transform, the code for the use of Finel transform two-dimensional images generated Finel hologram, in order to achieve the function of image encryption.)

基于暗通道先验理论的去雾算法，使用rgb暗通道计算大气光及透射率获得去雾图像(Since the scene radiance is usually not as bright as the atmospheric light, the image after haze removal looks dim. So we increase the exposure of J(x) for display.)

利用稀疏表示进行图像去噪时，需要生成两种学习字典，该源码比较了生成的两种字典的优劣(Denoising sparse representation, it is necessary to generate two learning dictionary, which compares the generated source code of the merits of two dictionary)

熟悉图像的频域滤波算法、灰度图经FFT 后变到频域、噪声及移除(Familiar image of the frequency domain filtering algorithm, after the change to grayscale by the FFT frequency domain, noise and removed)

基于物体灰度图像的物体三维形状恢复，修改图形路径和光源方向即可(Based on the three-dimensional shape of the object to restore the object grayscale image, modify the graphics path and direction of the light source can be)

史上最快人脸检测系统（超越OpenCV）

1.打开左右两张影像2.Harris算法提取同名点3.显示提取同名点（若要进行下一步匹配则不建议显示，这里只是用于查看是否提取出）4.相关系数匹配（只在找出的同名点内匹配）5.LSM最小二乘匹配（先进行粗匹配，再精匹配）(1 Open the left and right images 2.Harris algorithm to extract two tie points 3 shows the extraction of corresponding points (not recommended to proceed to the next match show, here is used to see if extracted) 4. Correlation coefficient matching (just looking match within a point of the same name) 5.LSM least squares matching (rough first match, then fine match))

直方图修正和彩色变换 功能是直方图修正和彩色变换 (Histogram correction and color conversion Function and color histogram transformation)

说明：  将像素点划分为超像素，便于进行图像处理！(Implementing superpixel segmentation)

自己编译的小波矩特征提取matlab代码(Wavelet moment to compile the feature extraction matlab code)