DCT-matlab

说明：  LRMR（低秩矩阵恢复模型）的IALM方法实现代码，用于图像去噪。(The IALM method implementation code of LRMR (Low Rank Matrix Recovery Model) is used for image denoising.)

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)

Jianchao Yang 的基于稀疏表示的单幅图像重建的原始代码，先将高低训练图像分块，再将块训练成高低字典，将测试图像映射到低字典上，得到系数，再乘以高子典就得到最后的图像。对学习超分辨率同学的参考作用很大。(This is the original matlab code for super resolution by Jianchao Yang 。The method is sparse represent based on the overcomplete dictionary。)

图片的旋转、截图、灰度、翻转、滤波、去噪等基本处理(Image rotation, screenshots, gray, flip, filtering, noise and other basic processing)

图像处理边缘提取;梯度算子；canny;sobel,灰度(image processing,canny;sobel,image processing,canny,sobel,gray image,energy image.)

一种新颖的退化图像复原算法。结合最大差值先验假设和最大局部对比度先验假设，快速有效的得到退化图像的深度转换估计图。结合软抠图法和shades of the gray算法实现图像去雾和水下图像处理。(A novel degraded image restoration algorithm. Combined with maximum difference between a priori assumptions and maximum local contrast priori hypotheses, quickly and efficiently get degraded image depth conversion estimates Chart. Combined with soft matting law and shades of the gray image algorithm to image processing and underwater fog)

基于纹理分析的图像分割用滤波实现，需要先输入参数。％The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes (Based on Texture Analysis for Image Segmentation with filtering to achieve, need to input parameters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes)

图像处理基础程序,主要针对遥感影像处理。内含各种基础处理源码(matlab ,imagine analisy)

局部拉普拉斯滤波代码，效果很好，可以直接运行(Edge-aware Image Processing with a Laplacian Pyramid)

对图像进行分块处理，可以设置分块比例，该程序设置的是8*8的比例，将图像分成64块(The image processing block, you can set the ratio of the block, the program is set proportion of 8* 8, the image is divided into 64)