KSVD_Matlab_ToolBox

说明：  通过将高分辨率的图像和低分辨率的图像进行融合，来实现图像的融合。(By fusing high-resolution and low-resolution images, image fusion can be achieved.)

基于otsu的自适应阀值canny边缘检测(adaptive canny edge detection based on otsu)

说明：  国外一个博士写的图像复原的源码 ，基于自适应的正则化的全变分图像复原，源码内有作者的主页，相应文章可以下载。代码测试，可用，效果不错 ，做这方面的同志可以下来看看 (Dr. written by a foreign source image restoration based on adaptive regularization total variation image restoration, source inside of the home page, the corresponding articles can be downloaded. Code test, available, good results, so this could be down to see Comrade)

包含实验图片，实验代码,对于从事数字图像处理工作有一定帮助(including experimental images and agrithms.It is benificial to image procecing workers.)

说明：  关于立体图像质量评价的论文和一些工程实现代码。(Papers on stereo image quality evaluation and some engineering implementation code.)

说明：  toolbox_calib图像畸变矫正工具箱(Image distortion correction toolbox)

简单实现通用的二值形态学运算（腐蚀和膨胀、开、闭和击中击不中变换）函数(Simple realization of a universal binary morphological operations (erosion and expansion of open and close, and hit-miss transform) function)

混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)

计算一副图像，或者加噪声后图像信噪比和峰值信噪比，代码非常简洁方便，效率很高。(Calculate the image SNR and PSNR)

说明：  一个普通的小游戏，没有什么功能，就一个小小的游戏(An ordinary little game, no function, just a garbage game.)