10257131SupResolDemo

视网膜图像中血管的提取和检测，高斯滤波器模板匹配法提取血管，然后进行血管剔除(Retinal image of blood vessels in the extraction and detection, gaussian filter template matching method to extract the blood vessels, and blood vessels )

遥感图像的色彩变换 能从IHS转换到RGB 并能从RGB转换到HIS 效果比较好(Remote sensing images from the IHS color transform to the RGB and the conversion from RGB to HIS conversion effect is better)

一篇介绍粒子滤波的资料，介绍的很详细，适合研究粒子滤波的初学者，希望对大家有帮助(Introduce a particle filter information on the very detailed study of particle filter is suitable for beginners)

使用KINECT获取深度图像的源码，在vs平台下使用C++编写。(Use KINECT obtain depth image source, written using C++ in vs internet.)

matlab 归一化相关系数，可用于模板匹配(matlab normalized correlation coefficient)

这是用C++实现图像立体匹配的一个完整的论文代码，主要特性是提出了一种全新的跨规模代价聚合方法，适合对于图像的立体匹配有一定基础的人学习(Cross-Scale Cost Aggregation for Stereo Matching)

利用emd对一维信号进行去噪的最新程序。包含了三种emd去噪方法：1、直接使用小波阈值，进行硬阈值去噪；2、使用具有emd分解特性的阈值去噪；3、emd分解后的平移不变去噪。(Using emd on one-dimensional signal de-noising of the latest procedures. Emd contains three kinds of de-noising methods: a direct use of wavelet thresholding to carry out hard-threshold de-noising 2, using a emd decomposition characteristics of the threshold de-noising 3, emd decomposition of the translation invariant de-noising.)

C++ based JPEG on grayscale image DCT -> Quantization -> ZigZag -> DPCM, Runlength,-> Entropy Coding

说明：  基于压缩传感的图像处理，其中运用了迭代的方法，不错的文章(Based on compressed sensing image processing, which used the iterative approach, a good article)

Abstract—Noninvasive ultrasound imaging of carotid plaques allows for the development of plaque-image analysis methods associated with the risk of stroke. This paper presents several plaqueimage analysis methods that have been developed over the past years. The paper begins with a review of clinical methods for visual classification that have led to standardized methods for image acquisition, describes methods for image segmentation and denoizing, and provides an overview of the several texture-feature extraction and classification methods that have been applied. We provide a summary of emerging trends in 3-D imaging methods and plaque-motion analysis. Finally, we provide a discussion of the emerging trends and future directions in our concluding remarks.