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通过一阶重建方法实现总变差的图像算法源码，希望对学习超分辨率的朋友有所帮助。 (Algorithms and software for total variation image reconstruction via first-order methods)

利用16幅高低温图像，计算红外图像中经常用到的两点校正系数。是平时工程中的仿真程序。希望对大家有用。(The use of 16 high and low temperature images, the calculation of infrared images of two frequently used correction factor. Is the usual engineering simulation program. Hope useful for everyone.)

说明：  LSA的第一步是要去创建词到标题（文档）的矩阵。在这个矩阵里，每一个索引词占据了一行，每一个标题占据一列。每一个单元（cell）包含了这个词出现在那个标题中的次数。例如，词”book”出现在T3中一次，出现在T4中一次，而”investing”在所有标题中都出现了一次。一般来说，在LSA中的矩阵会非常大而且会非常稀疏（大部分的单元都是0）。这是因为每个标题或者文档一般只包含所有词汇的一小部分。更复杂的LSA算法会利用这种稀疏性去改善空间和时间复杂度。(The Little Book of Common SenseInvesting: The Only Way to Guarantee Your Fair Share of StockMarket Returns ,)

说明：  图像处理案例，本程序是用matlab基于形态学的权重完成自适应图像去噪功能(Image processing case, this program is based on the weight of MATLAB morphology to complete adaptive image denoising function.)

ct图像重建系统，本程序需要先安装和配置好vtk环境才能编译并以命令行方式运行。(ct image reconstruction system, the program you need to install and configure vtk environment to compile and run the command line.)

说明：  本课题为基于MATLAB的小波变换dwt和离散余弦dct的多方法对比数字水印系统。带GUI交互界面。有一个主界面GUI，可以调用dwt方法的子界面和dct方法的子界面。流程包括，读取宿主图像和水印图像，嵌入，多种方法的攻击（剪切，加噪，旋转等），提取，最后利用psnr峰值信噪比进行评价不同攻击下，鲁棒性的好坏。(This project is based on MATLAB wavelet transform DWT and discrete cosine DCT multi method contrast digital watermarking system. With GUI interactive interface. There is a main interface GUI, which can call the sub interfaces of DWT method and DCT method. The process includes: reading host image and watermark image, embedding, attacks of various methods (cutting, adding noise, rotation, etc.), extracting. Finally, PSNR peak signal-to-noise ratio is used to evaluate the robustness of different attacks.)

高斯平滑滤波的matlab程序，对于初学者很有帮助(Gaussian smoothing filter matlab program, useful for beginners)

非线性超声成像仿真工具，考虑组织畸变、衰减、谐波等因素。(toolbox for nonlinear ultrasound imaging simulation)

本程序是用似然比检验的方法进行profile中的变点检测(This procedure is used likelihood ratio test method of change point detection profile)

按照夹角余弦距离计算待测样品与样品库的样品相似度(Cosine distance calculation in accordance with the test sample and the sample database sample similarity)