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基于matlab的图像分解重构的源码，基于matlab的图像分解重构的源码。。。(The reconstruction of the image decomposition based on matlab source code, the reconstruction of the image decomposition based on the matlab source code..)

图片极坐标转换,可实现极坐标转换，以及求傅里叶变换(Picture polar coordinate conversion, convert polar coordinates can be realized, as well as seeking the Fourier transform)

经典的光流法。读视频和光流算法两个类分开，可读性增强(Classic optical flow method. Read video and optical flow algorithm to separate the two classes, to enhance readability)

一个非常简小灵便的DICOM文件阅读器,支持多种格式的文件，支持图片的大多数编辑功能。(A very simple and handy DICOM file reader supports multiple formats of files and most editing functions of pictures.)

这是关于将jpeg压缩的具体算法的原始论文，利于学习。pdf格式(a pdf file about how to encode jpeg,this is the original paper good for your learning)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ROMP算法，对256*256的lena图处理，比较原图和ROMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and ROMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using ROMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

说明：  遥感高光谱图像处理，实现丰度估计；传统sansul算法(remote sensing,image processing,abundance estimation method)

说明：  水平集图像分割方法的一个经典DEMO，05年CVPR上的文章的实现程序，无偿呈现(Level set image segmentation methods of a classical DEMO, 05 years CVPR articles realization procedures, free show)

一个基于Matlab/Simulink建模的算法:Trigger. Trigger使用移动平均和匹配滤波器对原始信号进行噪声处理和信号峰值提取，并验证原始信号的正确性。Trigger使用M-code实现，并且使用S-function封装到Simulink中。(An algorithm based on Matlab/Simulink modeling: Trigger. Trigger moving average and the matched filter noise processing and signal peak extraction of the original signal, and verify the correctness of the original signal. Trigger M-code implementation, and encapsulated in the Simulink S-function.)

飞机弱小目标检测，利用固定权重，对背景进行全图重建，再利用残差图像，获得小目标的具体方位。(Aircraft small target detection, the use of fixed weights to rebuild the whole map background, and then use the residual image, obtain the specific location of small targets)