STFT

说明：  双目匹配计算视差，生成深度图。（前提是用自己标定好的摄像头拍的图片，导入内外参数然后进行立体匹配）(Binocular matching calculates parallax and generates depth map.(The premise is to take a picture with your own calibrated camera, import internal and external parameters, and then stereo matching))

说明：  聚类分析作业，可以对图像根据颜色进行聚类分析，通道数可以自我选择，方便使用。(Clustering analysis can cluster images according to color, and the number of channels can be self-selected for easy use.)

很全很全的基于压缩感知的图像重构算法啊，很适合用初学者的，本人就很受益( recovery algorithm)

说明：  运动图像的目标检测，用的是MATLAB软件实现的(The object detection of moving image is realized by MATLAB software)

jpeg转bmp的C语言程序,可运行在arm环境(bmp jpeg turn the C language program can be run in the arm environment)

说明：  matlab实现图像的锐化，使用不同的算子分别对图像进行运算(Matlab achieve sharper images, the use of different operators were right image Operational)

vc编写数字图像处理的程序,其中有图像处理的各种方法的程序(Vc write a digital image processing program, including the various methods of image processing program)

图像修复是对图像中破损区域进行信息填充，以减少图像破损所带来的信息损失的过程。 传统的图像修复方法需要依赖图像的具体结构来制定相应的修复方法，压缩感知理论的提出，使得可以利 用信号的稀疏性来对图像进行修复。基于K 奇异值分解（KSVD）与形态学成分分析（MCA，Morphological Component Analysis）的图像修复方法首先采用形态学成分分析方法对破损图像进行特征分析，将其分解 为结构部分和纹理部分；然后基于学习型字典KSVD分别对这两部分进行过完备字典训练；最后利用训练得 到的字典实现对破损图像的修复。相比于传统的图像修复方法，该方法具有适应性强、修复效果好等优点(Image inpainting is to fill the missing data in corrupted images and thus to reduce the information loss of damaged image. Traditional inpainting algorithms are dependent on specific structure of target images compressive sensing theory makes is possible to realized image inpainting with signal sparsity. This paper proposes a novel inpainting algorithm based on KSVD and MCA algorithm, which first decomposes the image into texture part and structure part, and then trains the two dictionaries for these two parts with KSVD and reconstructs the original image with these two trained dictionaries. Experiment indicates that the proposed algorithm is of better adaptability and performance as compared with traditional algorithms.)

对图像的融合结果进行评价，有均值，标准偏差，熵，梯度，相关系数，光谱扭曲度(Image fusion results of the evaluation, there is the mean, standard deviation, entropy, gradient, correlation coefficient, spectral degree twist)

用MATLAB实现亚像素角点检测，简单实用(Using MATLAB to achieve sub-pixel corner detection, simple and practical)