softmatting

实现数字图像处理的直方图均衡化，将一幅灰度图像的频谱展示处理(histogram equalization)

说明：  Z源逆变器开路三相SVPWM调制, 注入了三次谐波(Open-circuit Three-phase SVPWM Modulation of Z-source Inverter)

能够对采集到的连续信号进行傅里叶变换，以进行后续处理(It can carry out Fourier transform to collect continuous signals for subsequent processing.)

图像质量评价指标：MSE，衡量融合图像相对于标准参考图像灰度的偏离程度。其值越小，说明复原图像和标准参考图像的差异越小，恢复效果越好。(Image quality evaluation MSE)

说明：  利用97小波变换进行图像压缩，用matlab仿真，实验证明它具有较高的压缩比(using wavelet transform image compression using Matlab simulation experiment to prove that it has a higher compression ratio)

说明：  在图像恢复技术中，总变分最小化是一种以保存图像细节为目标的规整化复原方法。本算法基于总变分最小化的思想，采取交替最小化的精确迭代策略来对图像和点扩展函数同时进行恢复。实验表明，该算法在噪声水平较高的情况下仍能对图像进行稳健的恢复。(Total variation image restoration techniques is a goal to save the image detail regularization recovery method. Algorithm based on total variation minimization thinking, take the alternating minimization accurate iteration strategy to simultaneously restore the image and point spread function. The experiments show that the algorithm in the case of high noise levels can still robust recovery image.)

说明：  包括几种基于多项式插值的图像处理matlab代码，包括双三次插值，样条差值等(Includes several image processing based on polynomial interpolation matlab code, including double-cubic interpolation, spline difference, etc.)

说明：  吴恩达第五周作业。学习算法分两部分进行理解，第一部分是根据code对算法进行综述，第二部分是代码(The learning algorithm is divided into two parts, the first part is to summarize the algorithm according to the code, the second part is the code)

NSCT轮廓波变换程序，用于图像融合，有图有解释说明(NSCT image fusion)

图像 自动 标注 通过分析 训练集 ，学习 图像 和标注词 之间的关系，得出 之间的关系，得出 一些规则， 然后使用这些规则 自动 推导出 图像 最适合的标注词 ，这些标注词代表了图像的 ，这些标注词代表了图像的 高层 语义信息 。(Automatic image annotation by analyzing the training set, learning image and mark the relationship between words, the relationship between the draw, draw some rules, and then use these rules to automatically derive the most suitable image annotation words, these words represent the image annotation , these words represent the image annotation level semantic information.)