High-resolution-image

获取图像的LBP特征：对图像的原始LBP模式、等价LBP模式、旋转不变LBP模式，以及等价旋转不变LBP模式的LBP特征进行提取以及显示(Obtaining LBP features of images: extracting and displaying the original LBP pattern, equivalent LBP pattern, rotation invariant LBP pattern and equivalent rotation invariant LBP pattern of images)

图像高斯模糊的算法,自定义大小和模糊半径(psf of Gaussian)

非下采样contourlet相关去噪，论文程序，包括非下采样contourlet变换工具箱，已通过仿真(Related denoising nonsubsampled contourlet paper program, including non-sampling contourlet transform toolbox has been through the simulation)

这是运用matlab进行图像处理时会遇到的基本操作，包括图像的代数运算、几何运算、空间变换、区域操作等(This is for image processing using matlab will encounter the basic operations, including images of algebra, geometry operations, space transformation, regional operations, etc.)

稀疏贝叶斯学习的代码，出自UCLA，大家可以下载看看(sparse bayesian learning)

虹膜识别整个的程序源代码包括虹膜内外边界定位、虹膜特征提取等(Iris recognition throughout the program source code, including the inner and outer boundary positioning iris, iris feature extraction)

使用matlab实现的,基础单变量以及多变量梯度下降算法,和信号分类以及信号归一化部分算法，是机器学习领域最基本的代码，希望大家多多交流(matlab implementation of basic univariate and multivariate gradient descent and signal classification algorithms, machine learning basic code, hope that more exchanges)

图像处理包括图像的各种变换、阈值分割、边缘提取、边缘跟踪等等很多处理的源代码,可以正常运行(Image processing includes a variety of transformed image threshold segmentation, edge detection, edge tracking and so many of the source code, you can normally run)

集成了多种块运动估计算法，对刚接触运动估计算法的同学非常具有参考价值。(Integration of a variety of block motion estimation algorithm for motion estimation algorithm刚接触students have great reference value.)

tutorial压缩感知代码。压缩感知，又称压缩采样，压缩传感。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号(The tutorial compression-aware code. Compressed sensing, also known as compressed sampling, compressed sensing. It as a new sampling theory, through the development of signal sparsity, in conditions far less than the Nyquist sampling rate, using random sampling for discrete samples of the signal, and then through the non-linear reconstruction algorithm perfect reconstructed signal)