paper2

说明：  利用稀疏矩阵思想进行图像的超分辨率重建，效果较好。(Thinking of using sparse matrix for image super-resolution reconstruction, the effect is better.)

在车辆检测中，对提取的前景进行基于hsv特性去除阴影(In the vehicle detection feature to remove the shadow on hsv)

jpeg压缩的matlab程序，包括分块，量化，霍夫曼编码，其中量化和霍夫曼编码用查表实现，提高速度。(jpeg compression matlab procedures, including block, quantization, Huffman coding, in which quantization and Huffman coding using look-up table to achieve, improve the speed.)

说明：  掌纹识别palm print recognition software（gray processing, image filtering, detection angle HARRIS, wavelet decomposition. Heat extraction zone, the function of mathematical ecology ）(Palmprint identification palm print recognition software (gray processing, image filtering, detection angle HARRIS, wavelet decomposition. Heat extraction zone, the function of mathematical ecology))

基于深度图像的图像修复算法，首先得到待修复图像的深度图像，然后利用图像的深度图对破损区域进行修复。(Based on the image restoration algorithm of depth image, the depth image of the image to be repaired is obtained, and then the damaged region is repaired by using the depth map of the image.)

对Lena图先进行jpeg压缩，再对压缩后的图像分别进行小波软阈值去噪和非抽样硬阈值去噪，比较两种去噪方案，非抽样硬阈值有更好的效果。这是根据一篇外文文献来进行编程的，最后有图像对比结果。(According to the paper of OPTIMAL WAVELET THRESHOLDING FOR VARIOUS CODING SCHEMES ,I firstly compresse the Lena picture using the jpeg method ,then respectivly denoise it using the wavelet soft-thresholding method and the undecimated DWT hard-thresholding method.Comparing the two method ,we can find the undecimated DWT hard-thresholding have a better result.)

简单特征提取算法:PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA等，用于图像的特征提取。(simple algorithm feature extraction ,for example: PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA，in order to extract the feature space of image.)

matlab程序，我的论文程序‘一种基于图像内容的自恢复水印算法’(matlab program, my thesis procedure )

SAR图像的去噪，包含lee滤波器，frost滤波器，kuan滤波器，并且自己编写的信噪比函数(SAR image denoising, including lee filter, frost filter, kuan filter, and I have written a function of SNR)

Zernike矩，分为一个主函数和六个子函数，主要步骤有注释，方便理解，有图，方便使用。主程序前段更改了判断输入参数个数的代码(Zernike moments, divided into a main function and six subroutines, major steps have comments, easy to understand, map, easy to use. The main front-end change the code determine the number of input parameters)