MSE

说明：  实现峰值信噪比的算法，用于判断图片质量的好坏！十分有用！(Achieve peak signal-to-noise ratio (PSNR) algorithm for judging image quality! Very useful!)

论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。(The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering the covering effect, estimates the SFS algorithm effectively involved in all kinds of control parameters, and introduces brightness constraint, gray level gradient constraint and the integrability of constraints, calculate the surface height and surface vector, realize the three-dimensional reconstruction. Finally, points out the problems requiring attention is realized in Matlab. )

最新的用matlab实现的ＳＰＩＨＴ算法，实现对图像的高性能压缩。(Matlab using the latest achievement of SPIHT, the realization of high-performance image compression.)

用matlab实现levelset水平集分割图像！(levelset to fen ge Image ag dag gf a ga ga h agr d we v g)

TV正则化去卷积the Iteratively Reweighted Norm algorithm for solving the generalized TV functional, which includes the L2-TV and and L1-TV problems(An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation Functionals)

说明：  SLM与PTS的融合(低复杂度),直接可运行(SLM and PTS)

批处理的练习题，实验过程，命令的意义及实验截图(Batch exercises, experimental procedure, meaning command and experimental shots)

变分偏微分方程图像处理工具包，包括计算曲率，方差，L1,L2范数等29个实用算法(variational PDE image processing tool kit, including the calculation of curvature, variance, L1, L2 norm, and other practical algorithms 29)

把一幅图像进行经验模式分解，结果为不同频率分量的IMF，用于希尔伯特黄变换，图像去噪等(empirical mode decomposition)

图像处理算法,实现多种对于灰度/二值图像的基本算法,包括灰度直方图,均衡化,门限处理,模糊,锐化,腐蚀,膨胀,掩模过滤,频域转换,边缘检测,梯度检测,二值化等等.实现的方法较多,且均经过一定的优化,效率不错.(Image processing algorithms to achieve a variety of for the gray/binary image of the basic algorithm, including the gray histogram, equalization, threshold treatment, blur, sharpen, corrosion, expansion, mask filter, frequency domain conversion, edge detection, gradient detection, binarization and so forth. The way to achieve more, and have to undergo a certain degree of optimization, efficiency, good.)