soundDCT

能够很好的对图像的倾斜进行矫正，速度上也较其他算法快。(Can be very good for the image of the tilt correction, speed is also faster than other algorithms.)

视频水印的matlab源码，文件较多，分为六个压缩包，如果您作相关方向的研究，可用作参考(Video Watermarking Matlab source, the paper more, divided into six compressed, If you made related to the direction of research, can be used as a reference)

能够实现对SAR图像和其他类型的包含大量噪声的图像进行平滑去噪，在去除噪声的同时还能保持并增强边缘，适用于目标提取。(SAR images can be achieved and other types of containing large amount of noise in the image smoothing denoising, remove the noise while maintaining and enhancing the edge, suitable for object extraction.)

本文提出了基于Retinex可变框架模型的图像增强算法。实验证明该算法不但能有效的增强图像的质量，还能避免Retinex算法中带来的光晕效应，同时算法速度与同类型的图像增强算法比较更快速。之后，将这种理论运用到对彩色图像增强中，取得了很好的处理效果。 （使用同方知网浏览器打开）(This paper presents a framework model based on variable Retinex image enhancement algorithm. Experiments show that this algorithm not only can effectively enhance the image quality, but also to avoid the Retinex algorithm brought halo effect, and algorithm speed and the same type of image enhancement algorithm is relatively faster. After this kind of theory to the enhancement of color images, achieved good treatment effect. (Text browser to use the same side open))

基于遥感光学图像的宽网道路检索，能够快速的实现半自动道路提取，给出种子点对输入方向进行快速检索(Optical remote sensing images based on a wide network of roads retrieval, the realization of fast semi-automatic road extraction, given the input direction of the seed point for rapid retrieval)

利用块匹配稳像算法实现视频去抖动。 主程序入口位于shakeproof.m(shakeproof.m main function. emba.m exhaustive macro block matching algorithm. splitmv.m split mv field into backgroud and foreground. hist2d.m 2d histogram function.)

基于相位和Lucas Kanade方法的光流计算matlab源程序。(Based on the phase and Lucas Kanade optical flow calculation methods matlab source.)

图像的纹理特征参数的灰度共生矩阵的计算，该方法效果好，速度快，易理解。(The image texture characteristic parameters GLCM calculation, the method effective, fast, easy to understand.)

图像边沿提取，程序简单，适合图像处理初学者。(Image edge extraction, the procedure is simple, suitable for image processing for beginners.)

以标准化fcm分割为基础的，结合空间隶属度约束的改进算法(Fcm divided based on a standardized, combined with space constraints improved algorithm membership)