BMP

SVM进行图像分割 使用OTSU阈值法 效果很好 分割出来直接是二值图像(SVM for image segmentation using the OTSU thresholding method works well split up directly from the binary image)

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)

基于半色调图像的数据隐藏即加数字水印，针对半色调图像，所以使用的是DHSPT算法，算法较容易理解，简单，嵌入效果相对较好(Hidden based on the halftone image data plus digital watermark for halftone images, use DHSPT algorithm, the algorithm is easy to understand, simple, embedded effect is relatively good)

cvpr2012_oral On Multiple Foreground Cosegmentation(In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo sets where a finite number of K foregrounds of interest repeatedly occur over the entire photo set, but only an unknown subset of them is presented in each image. This contrasts the classical cosegmentation problem dealt with by most existing algorithms, which assume a much simpler but less realistic setting where the same set of foregrounds recurs in every image. We propose a novel optimization method for MFC, which makes no assumption on foreground configurations and does not suffer from the aforementioned limitation, while still leverages all the benefits of having co-occurring or (partially) recurring contents across images. Our method builds on an iterative scheme that alternates between a foreground modeling module and a region assignment module, both highly efficient and scalable. In part)

课题是用粒子滤波进行目标跟踪，对经典粒子滤波与其它粒子滤波进行了详细的讲解.(For target tracking particle filter algorithm)

将空间点的大地坐标投影到椭球面上，进行分带，计算坐标，最后输出高斯投影结果(gauss projection)

压缩感知的MRI算法实现,使用matlab,可以直接运行,压缩包内有图片(Compressed sensing MRI algorithm, using MATLAB, can be run directly, compressed packets have pictures.)

这是图象缩放的代码，对于学习图像的朋友应该有所帮助(This is the image scaling code for the study should help the image of a friend)

matlab 高光谱处理工具箱 hyperspecreleasesmatlab_hyperspectral_toolbox_v0.07.zip( Matlab Hyperspectral Toolbox Copyright 2008-2012 Isaac Gerg ------------------------------------------------------------------------- A Note on Notation Hyperspectral data is often expressed many ways to better describe the mathematical handling of the data mainly as a vector of pixels when referring to the data in a space or a matrix of pixels when referring to data as an image. ------------------------------------------------------------------------- Dependencies FastICA- http://www.cis.hut.fi/projects/ica/fastica/code/dlcode.shtml ------------------------------------------------------------------------- Functions Reading/Writing Data Files hyperReadAvirisRfl- Reads AVIRIS .rfl files hyperReadAvirisSpc- Read AVIRIS .spc files hyperReadAsd- Reads ASD Fieldspec files. (.asd, .000, etc) Data Formatting hyperConvert2D- Converts data from a 3D HSI data cube to a 2D matrix hyperConvert3D- Converts data fro)

马尔可夫（MRF）图像分割MATLAB源码,有30几个函数。Markov随机场的例子程序,对于初学MRF的人很有用,能得到直观的印象(Markov (MRF) image segmentation MATLAB source code, 30 a number of functions. Markov random field example of the procedure, for beginner person MRF useful that they can get a visual impression)