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此篇论文是利用稀疏低秩矩阵分解来实验的鲁棒图片的矫正。(This paper is the use of sparse low rank matrix decomposition to experimental robust image correction。 )

8通道GRAPPA并行重建算法，4倍加速(Parallel reconstruction algorithms ,GRAPPA，R=4)

基于图像的纹理特征参数的MVA的提取，该方法使用方便，理解简单。(Image-based texture feature extraction parameters of MVA, the method easy to use, easy to understand.)

说明：  实现目标检测的代码，有例程视频，可以运行(Achieve target detection code, there are routine video, you can run)

偏微分方程图像复原代码，其中有频域迭代盲解卷积H1模型，TV去噪模型，自己编的自适应去噪模型，以及改进的自适应去噪模型，令附卫星图片，PSNR代码(Image restoration code of partial differential equations, including iterative frequency-domain blind deconvolution H1 model, TV denoising model, made themselves adaptive denoising model, and improved adaptive denoising model, so attached to satellite images, PSNR code)

说明：  图像处理中的变分和偏微分方法图像处理中的变分和偏微分方法图像处理中的变分和偏微分方法图像处理中的变分和偏微分方法(asdf dsfsa fsddf sadf aasdfas sdfdsaf afas sf asdfasf asfdg)

说明：  LCD彩色图片转换工具BMP_to_H,可以进行24位色的BMP图片转换(LCD color image conversion tools BMP_to_H)

扩展卡尔曼滤波的基础代码，有详细的注释，结合卡尔曼滤波的基本原理，就能很好的理解卡尔曼滤波过程了。(Extended Kalman filter based code , there are detailed notes , combined with the basic principles of Kalman filtering , we can well understand the process of Kalman filtering )

运用Perona-Malik各项异性扩散模型对二维图像进行去噪处理。该方法在有效的抑制噪声的同时能够保护图像的边缘。(The use of Perona-Malik Anisotropic Diffusion Model for the treatment of two-dimensional image denoising. The method in the effective suppression of noise at the same time to protect the edge of the image.)

平台基于visual studio2015，使用opencv函数实现双边滤波，进行图像处理(bilateral Filter based on opencv)