encrypt(matlab)

使用matlab分析传统光学系统加入三次相位掩模板之后对中间像进行图像复原(Analysis using matlab conventional optical system after adding three phase mask image on the intermediate image restoration)

说明：  bp神经网络在图像压缩中的应用源代码，欢迎下载。(bp neural network in image compression source code, welcome to download.)

meanshift track的。希望对大家有用o .(It s about meanshift program.)

说明：  独立分量分析，快速独立分量分析，FAST-ICA可以用(Independent component analysis)

冈萨雷斯第三版 10.3.6节 关于双 ostu阈值处理的算法(digital image processing,third edition the code about two ostu threshold processing)

针对散焦模糊图像，用matlab实现了先基于倒谱相关性对PSF的参数估计，再用维纳滤波实现复原的算法。(Defocus blurred image using matlab first estimated based on the parameters of the cepstrum on PSF, and then the Wiener filter recovery algorithm.)

说明：  图像去模糊，各种传统滤波算法，逆滤波、维纳滤波、LR算法等等。。。针对图像运动模糊领域(Image to blur, a variety of traditional filtering algorithms, inverse filtering, Wiener filtering, LR algorithm and so on...Aimed at the field of image motion blur)

说明：  计算视频或者图像中相邻两帧的光流场。 本光流场算法使用是 多项式展开的方法 配置好视频的路径之后，直接运行就可以了。(Calculation of video or image of two adjacent optical flow field. The optical flow algorithm using the polynomial method is a good video of the path configuration, the direct operation of it.)

在google earth engine云平台对影像进行自动分类提取，需要手动输入样本及研究区(Automatic image classification and extraction on Google Earth engine cloud platform requires manual input of samples and research areas)

针对多聚焦图像融合，本文首先介绍了小波变换融合算法，虽然小波变换方法无冗余，高频分量损失较小，具有较好的融合效果，但存在两个主要缺点：一是移变性，二是融合图像在重构时会受到一些外来因素的影响，所以仍会丢失一些边缘信息，为了克服小波变换法的以上缺点，可以采用基于小波分解和点扩展函数模型PSF相结合的融合方法。该方法首先对不同的图像进行无降2采样的小波分解，以保持与源图像大小相同，然后分别将其各方向、各尺度的高频分量进行叠加，并依此提取其高频分量的特征信息来判定清晰目标或模糊目标，以此来设计融合算法，采用一定的策略将两副源图像进行融合，从而避开了小波的反变换，因此融合后的图像具有比小波变换法更好的融合效果。(multi-focus image fusion, this paper introduces the wavelet transform algorithm, Although the wavelet transform non-redundant, the loss of high-frequency components are smaller, better integration effect, But there are two major drawbacks : First, the shift variability and the second is the integration of image reconstruction will be subject to a number of external factors. Therefore, there would still be some marginal loss of information, in order to overcome the wavelet transform of the above shortcomings, can be used based on wavelet decomposition and the point spread function PSF model combining the fusion method. The first pair of different images ratchet two sampling wavelet decomposition, and to maintain the same source image size. Then all of its direction, the scale of high-freque)