matlab2envi

陆吾生教授的压缩感知材料，PPT格式，开始学习基础知识的同学有帮助。(Professor Lu Wusheng compressed sensing materials, PPT format.)

全参考型视频质量评价方法，基于机器学习和视频特征提取，发表与2012年TMM(FR VQA method based on machine learning and video feature )

基于ROF全变差分模型，用于图像去噪，并利用split bregman算法进行加速运算(ROF points based on total variation model for image denoising, and using split bregman accelerated computing algorithms)

基于菲涅耳全息图和离散余弦变换的_盲数字水印_技术(Blind digital watermarking _ technology based on the Fresnel hologram and the discrete cosine transform _)

建立一个透明物体上有污点的模型，可以模拟玻璃上有污点的图象(Rendering of clean transparent objects has been well studied in computer graphics. However, real-world transparent objects are seldom clean—their surfaces have a variety of contaminants such as dust, dirt, and lipids. These contaminants produce a number of complex volumetric scattering effects that must be taken into account when creating photorealistic renderings. In this paper, we take a step toward modeling and rendering these effects. We make the assumption that the contaminant is an optically thin layer and construct an analytic model following results in radiative transport theory and computer graphics. Moreover, the spatial textures created by the different types of contamination are also important in achieving visual realism. To this end, we measure the spatially varying thicknesses and the scattering parameters of a number of glass panes with various types of dust, dirt, and lipids. We also develop a simple interactive synthesis tool to create novel instances of the me)

说明：  matlab 拉盖尔-高斯光束 pl=01 模态(Matlab Laguerre Gaussian beam PL = 01 mode)

利用四参数随机生成法生成三维多孔介质，以研究黏土、页岩等的微观流动机制(Using QSGS to construct 3D porous media)

介绍了粒子滤波目前主要应用领域, 最后对粒子滤波的发展提出了展望。(Describes the particle filter is currently the main application areas, and finally the development of particle filter raised prospects.)

说明：  HEBBHEDSIHERMSHERSIHE 可直接运行的直方图增强算法。(HEBBHEDSIHERMSHERSIHE can be directly run by histogram enhancement algorithm.)

focuss算法 关于图像稀疏性分解中字典学习的经典算法 和大家一同分享 (focuss algorithm on the sparse image decomposition in the dictionary of the classical learning algorithm and we share)