matlabPyrTools

屏幕差异传输优化例程，程序结合易语言扩展界面支持库和数据操作支持库，调用API函数实现屏幕图像传送的差异优化。(Screen difference transmission optimization routines, programs combining easy language support library expansion interface and data manipulation support library , call the API function to differentiate screen image transfer optimization.)

Jsteg算法实现，Jsteg是一种基于JPEG的常用信息隐藏算法步骤如下: 首先，把掩体图像分为不重叠的8*8的子块，对每一子块进行DCT并对变换得到的DCT系数进行量化 其次，将待隐藏的信息进行加密，将加密结果嵌入到量化后值不为0，1或-1的DCT系数的最 低有效位(LSB)中，其嵌入顺序是按zigzag扫描顺序进行的。最后，用JPEG的嫡编码(包括哈夫曼编码，游程编码及DPCM)对嵌入秘密信息后的每一子块进行编码，从而得到一个含有秘密信息的JPEG stego文件。(Jsteg Algorithm)

一个图像抖动算法的例子，从被人那里copy来的，希望对大家有帮助。c写的。(An example of image dithering algorithm, from the copy to be there and want to help you. c wrote.)

实现图像拼接,好用，又容易实现，广大好友多多支持与指导！(very good!)

自己实现的sift特征提取的matlab代码，可以计算特征描述子用于图像匹配，不过速度有点慢(Own implementation of sift feature extraction matlab code to calculate feature descriptors for image matching, but a bit slow)

压缩传感理论，用K-SVD算法训练字典，过完备字典(Compression sensing theory, SVD algorithm with K- had complete training dictionary, dictionary)

经典的KSVD图像字典学习，matlab 代码，有注释，亲测可用(The classic KSVD image dictionary learning, matlab code, include notes, test available)

超分辨率复原（分块处理） 将样本库中的高分辨率图象和低分辨率图象分别做分块处理，当新输入一幅低分辨率图象时，分成小块到样本库中寻找最匹配的高分辨率块，然后复原出高分辨率图象。(Superresolution recovery (block processing) for a sample of high-resolution images and low-resolution images respectively block , when the new importation of a low-resolution image, divided into small samples to find the most matching high-resolution block, then recovery from high-resolution images.)

飞机弱小目标检测，利用固定权重，对背景进行全图重建，再利用残差图像，获得小目标的具体方位。(Aircraft small target detection, the use of fixed weights to rebuild the whole map background, and then use the residual image, obtain the specific location of small targets)

本源码是基于Markov chain Monte Carlo (MCMC)的Bayesian inference工具包,其中包括MCMC采样，基于MCMC的高斯分类，同时描述了采样的一些方法。其中还有使用文档(toolbox is a collection of Matlab functions for Bayesian inference with Markov chain Monte Carlo (MCMC) methods)