image-enhancement

该源码可以实现对彩色或灰度图像的曲波（Curvelet）特征的提取，以便后续做纹理图像分割。(The source can be achieved in color or grayscale images Qu Bo (Curvelet) feature extraction in order to do follow-up texture image segmentation.)

完整的图像加密算法以及对此算法加密结果的性能分析：像素之间相关性，图像的信息熵，以及NPCR,UACI(completely figure encryption scheme and corespond result analysis)

对图像进行简单处理，对光斑圆拟合，求圆心与半径(Simple processing of the image, fitting the spot circle, finding the center of the circle and radius)

对较真实的运动模糊图像进行恢复，此种运动模糊图像限于水平或垂直的运动模糊图像。 参考文献：Removing Camera Shake from a Single Image ,siggraph06(On the more realistic motion-blurred image restoration, such motion-blurred images limited to horizontal or vertical motion-blurred images. References: Removing Camera Shake from a Single Image, siggraph06)

用于对图像特征的分类，随机森林算法是一类很好的算法(For the classification of image features, random forest algorithm is a kind of a good algorithm)

几种全参考图像质量评价标准，例如VIF、IFC、VSNR、PSNR、MSE等。(Several full reference image quality assessment standard, such as 2 VIF is based, the IFC, VSNR, PSNR, MSE and so on. )

最大熵直接迭代法,维纳滤波和盲恢复对水平方向匀速直线运动造成的模糊图像的恢复研究(Direct iterative maximum entropy method, Wiener filtering and blind restoration of the horizontal direction caused by uniform linear motion blurred image restoration)

改进后的非线性各向异性扩散用于图像中的保边去噪，增加了二阶导数，是滤波效果更好(Improved nonlinear anisotropic diffusion for edge preserving image denoising, an increase of second derivative, is a better filtering effect)

基于马尔科夫随机场的SAR图像分割方法，对应于采用最大后验概率准则对SAR目标切片图像分割，采用聚类分析算法求解。(SAR image segmentation based on Markov random fields, which corresponds to using the maximum posterior probability criteria for SAR Target Chip Image segmentation using cluster analysis algorithm for)

代码使用全相位双正交变换（APBT）稀疏表示图像，主函数为test.(The code uses the all phase biorthogonal transform (APBT) sparse representation of the image, the main function for the test.)