encrypt(matlab)

说明：  整理了五种多曝光图像融合的代码，用于图像处理，图像去雾，有英文介绍(Five kinds of multi-exposure image fusion codes are sorted out.For image processing, image defogging, with English introduction)

这是冈萨雷斯版数字图像处理中的几个函数的实现，包括dftfilt, dftuv,hpfilter,imnoise2,improd,希望对你的学习有所帮助(This is the realization Gonzalez version Several digital image processing functions, including dftfilt, dftuv, hpfilter, imnoise2, improd, I hope to help you learn)

说明：  方向梯度直方图检测算子，能够提取图像的HOG特征，进行分类与识别(Directional gradient histogram detection operator can extract the hog features of the image for classification and recognition)

图像融合可以用的PCNN工具箱，可以使用在图像融合里(PCNN Toolbox for Image Fusion)

图形图像处理软件 MFC 功能强大 OpenVC 武汉大学出品(MFC graphic image processing software produced powerful OpenVC Wuhan University)

PCNN源代码,此为简化PCNN模型的实现原代码。(the source code of pcnn)

运用于人脸图像预处理中，主要实现功能有：人脸检测，人脸对齐，人脸图像放缩，人脸剪切。(Applied to the face image preprocessing, the main features are: face detection, face alignment, face image zoom, face cuts.)

一些常用的图像处理评价指标，处理后图像对比度，边缘剩余数，处理前后图像的相似性....(Some commonly used image processing evaluation, contrast, edges remaining number of similarities ....)

通过matlab实现对视频的实时提取及处理(Real-time extraction and processing of the video by matlab)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)