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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.)

说明：  对图像进行配准，方便快捷，分为对比差异，粗配准与精细配准三步(Image registration is convenient and fast. It can be divided into three steps: contrast difference, rough registration and fine registration.)

三维人脸数据库FRGC V1. 0,2.0包括图像的深度数据和纹理，格式分别保存为：abs和ppm 读取abs数据中的深度z轴数据，保存为480*640的矩阵，进而进行数据处理研究。并且贴ppm纹理，便于观察。 (Three-dimensional face database FRGC V1. 0,2.0 depth data including images and textures, formats were saved as: abs abs data and ppm reads depth z-axis data, save it as a 480* 640 matrix, and then studied for data processing . And paste ppm texture, easy to observe.)

自适应正则化超分辨率重建 是： M. G. Kang这人写的IEEE上发表的论文 可以参考下算法( General Choiceof the Regularization Functional in Regularized Image Restoration)

说明：  一种图像阈值分割算法。能够对图像.sauvola是一种考虑局部均值亮度的图像二值化方法, 以局部均值为基准在根据标准差做些微调.算法实现上一般用积分图方法来实现.这个方法能很好的解决全局阈值方法的短板—关照不均图像二值化不好的问题.(Image threshold segmentation algorithm)

最佳拼接线方法进行图像拼接，对学习图像拼接很有用处(The best method of splicing line image mosaic, image stitching is useful for learning)

刀刃法获取靶标图像的MTF,PSF.适用于遥感图像中的MTF提取。(The blade method for target images MTF, PSF. Apply to the remote sensing image MTF extraction.)

在指纹特征提取中，结合方向图和图像局部灰度方差对指纹图像进行分割，然后再进行阈值分割去处边缘效应得出较好的分割结果。(In the fingerprint feature extraction, the combination of pattern and image local variance of gray-scale fingerprint image segmentation, and then conducted threshold segmentation edge effects come to a better place for the segmentation results.)

说明：  直方图均衡化能自动地增强整个图像的对比度，但它的具体增强效果不好控制，处理的结果总是得到全局均衡化的直方图，对数据的处理不加选择，可考虑采用自适应直方图均衡化（AHE），可改进图像的局部对比度以及获取更多的图像细节。MATLAB代码均可直接运行实现。(Digital image processing histogram equalization,Adaptive histogram equalization)

多尺度快速角点检测算法（FAST).Adaptive and generic corner detection based on the accelerated segment test. 出处 Computer Vision–ECCV 2010(Multi-scale fast corner detection algorithm (FAST) Adaptive and generic corner detection based on the accelerated segment test. Computer Vision-ECCV 2010)