基于混沌理论和量化方法实现一种针对灰度图像的鲁棒水印算法 QIM_Block-Equel

matlab本身不带yuv视频读取函数，此函数读取并转换为RGB格式保存(Matlab itself does not have the yuv video reading function, which is read and converted to RGB format)

利用PCL库，基于深度图像，进行点云特征提取(Based on the depth image, feature extraction of point cloud)

此程序为袁晓彤CVPR论文“基于多任务联合稀疏表示的的视觉分类”的主代码部分(The program for Yuan Xiaotong CVPR paper " visual classification with Muti-task joint sparse representation" main code of the parts)

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)

说明：  本程序使用MATLAB编程用于计算图片的视觉混乱度(Calculate the visual clutter of pictures)

基于灰度共生矩阵的纹理特征提取。特征参数为：熵，能量，(GLCM-based texture feature extraction. The characteristic parameters: entropy, energy,)

车型识别,根据surf算法特征匹配实现大型车、小型车的识别。(automotive style recognition)

YUV420视频的缩放，经过高度的优化，其中三次卷积插值（cubic convolution）算法的效果最好，优化程度也最高。其基本思想是通过整型化、查表等方法消除每一帧图像插值运算中的浮点运算和乘除法运算。(scale YUV420 video frames with cubic, bilinear & cubic convolution interpolation algorithms。)

在idl环境下，用最佳指数法对高光谱图像进行波段选择的程序(OIF)

说明：  matlab实现的简单的车牌识别，附有相关模板库(matlab chepaishibie,and xiangguanmubanku)