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MRI 读入k空间数据调整中心并进行傅里叶变换显示图像(MRI k-space data is read into the center and adjust the display image Fourier transform)

说明：  本人自己编写的用matlab实现彩虹程序，(I have written with matlab Rainbow realize procedures,)

该代码是基于学习的超分辨率重建，此算法是在线字典学习，字典的训练与稀疏表示与重建同时进行。(This code is based on the study of super-resolution reconstruction, this algorithm is learning online dictionaries, dictionaries of training and sparse representation and reconstruction simultaneously.)

虹膜归一化的代码，只要给出定位好的虹膜图片，就可以很好的进行归一化，使用的极坐标变换。(Normalized iris code, as long as the position is given a good iris image, you can be a good uniform, the use of the polar coordinate transformation.)

使用改进的点锐度算法对不同程度的模糊图像进行清晰度评价。(The improved algorithm of point sharpness is used to evaluate the blurred image in different degree.)

本代码是完成傅里叶梅林变换对图像的旋转剪切。没有嵌入水印。(The code is complete Fourier Mellin transform of the image rotation shear. No embedded watermark.)

region wise image segment

用lbp实现纹理特征提取，并分类说明: 一共有三个m文件，一个是lbp.m, 存放主要的lbp算法， 一个是getmapping,用以做算法的辅助函数， 一个是lbptest.m,存放着测试代码。 这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片， 具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图 这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description: A total of three m files, one is lbp.m, store the main lbp algorithm, One is getmapping, helper functions for doing arithmetic, One is lbptest.m, kept the test code. These three documents need to put the same folder, and add the appropriate folder, pictures, See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code These three documents are the most traditional LBP method, there are 256 kinds.)

基于差值的可逆水印算法源码，及详解说明。还包括一篇英文论文和该作者的一些理解和解释，希望对大家有帮助(Reversible watermarking algorithm based on difference of source code, and the Detailed Description. Also includes an English papers and some of the author' s understanding and interpretation, we hope to help)

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.)