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DWT的彩色水印嵌入算法，而且嵌入的水印附图像是彩色的。(DWT color watermark embedding algorithm, and the embedded watermark such as color drawings.)

将图像转换到HSV空间，并对其进行量化降维后，计算其颜色直方图(Image conversion to HSV space, and to quantify the dimensionality reduction, the calculation of its color histogram)

用光流法进行运动物体的检测和跟踪，并返回运动方向(Light flow method of moving object detection and tracking, and return to the direction of movement)

SPIHT的图像压缩算法源代码。可以针对128×128的图像进行压缩(SPIHT image compression algorithm source code. 128 × 128 image compression)

说明：  本代码采用的是opencv，有视频采集和对采集的视频帧进行laplace处理的功能！(This code uses a opencv, with video capture and the capture of video frames laplace processing capabilities!)

说明：  SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

遗传算法+FCM 用于SAR图像分类问题中，讲图分为两类或者三类~~~~~~~~~。(Genetic algorithm is used to SAR+ FCM image classification problem, speak figure divided into two classes or three kinds of ~ ~ ~ ~ ~ ~ ~ ~ ~.)

稀疏重建压缩感知算法，可对图像进行稀疏重建。(Sparse reconstruction compressed sensing algorithm can reconstruct image sparsely.)

IDL平台环境下，envi温度植被干旱指数计算TVDI(Calculation of envi temperature and Vegetation Drought Index under IDL platform TVDI)

基于DCT的数字视频水印源程序，Matlab编写，可以直接运行(DCT-based digital video watermarking source code, Matlab can be run directly)