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小波算法，在计算式，通过图像对其进行分析估计，可以直观的看到它对函数的时域和频域的改变(Wavelet algorithm, calculation, estimated by image analysis of them, you can visually see that it functions in time domain and frequency domain changes using the compression miu worth PSO )

屏幕放大镜源码，程序调用API函数，在时钟的周期事件下设置窗口透明样式并复制放大图像，形成放大镜的效果。(Screen magnifier source , the program calls API functions , set the window transparent style event in the cycle of the clock and copies enlarge the image , forming a magnifying glass effect.)

图像清晰度评价，包含标准差，空间频阈，熵，bener(Image sharpness evaluation, including standard deviation, spatial frequency threshold, entropy, bener)

计算PSNR值，一个不错的算法，值得看一下(Calculation of PSNR value, a good algorithm, it is worth a look)

基于Visual C++的图像边缘检测工程，以Canny为例(Visual C++-based image edge detection works to Canny Case)

MATLAB 计算医学图像的配准，融合 基于SIFT方法的配准()

由于彩色图像提供了比灰度图像更为丰富的信息, 因此彩色图像处理正受到人们越来越多的关注。彩色图像分割是彩色图像处理的重要问题, 彩色图像分割可以看成是灰度图像分割技术在各种颜色空间上的应用, 为了使该领域的研究人员对当前各种彩色图像分割方法有较全面的了解, 因此对各种彩色图像分割方法进行了系统论述, 即先对各种颜色空间进行简单介绍, 然后对直方图阈值法、特征空间聚类、基于区域的方法、边缘检测、模糊方法、神经元网络、基于物理模型方法等主要的彩色图像分割技术进行综述, 并比较了它们的优缺点, 通过比较发现模糊技术由于能很好地表达和处理不确定性问题, 因此在彩色图像分割领域会有更广阔的应用前景。(colorful image segment)

基于AR2模型的粒子滤波源代码，可用于图像处理，视觉跟踪，希望可以帮助有需要的人(AR2 model particle filter based on source code can be used for image processing, visual tracking, I hope to help people in need)

基于DCT域的数字水印算法主要包括水印调制、水印嵌入和水印提取，首先在嵌入载体图像之前用Logistic混沌序列对水印进行调制，得到一个只有+1和-1随机序列的水印，同时将载体图像进行全局DCT变换，然后将水印图像嵌入人类视觉系统最重要的部分，即DCT最大的系数，DC（Direct Current）部分也包含在这最大的系数中，这部分的系数满足人类视觉特性，会使水印嵌入的性能更好。嵌入算法是将水印与这些系数进行相乘获得新的系数，再用新的系数来替换原来的系数，即获得嵌入水印后的离散余弦域的图像，然后对这个变换后的图像进行IDCT，就会得到需要的水印图像。(While the carrier image digital watermarking algorithm based on DCT domain include watermark modulation, watermark embedding and watermark extraction, the first of the watermark embedded in a carrier modulated image before using Logistic chaotic sequence, only+1 and-1 to get a random sequence of watermark, Global DCT transform, then the watermark image is embedded most important part of the human visual system, i.e. the largest DCT coefficients, DC (Direct Current) in this section also contains the largest coefficient, the coefficient of this part of the human visual characteristics to meet, make watermarks Embed better performance. The watermark embedding algorithm is with these coefficients are multiplied to obtain new coefficients, and then a new factor to replace the original coefficients, namely discrete cosine domain to obtain an image watermarked and then transformed the image of this conduct IDCT, on watermark image will be needed.)

用matlab做的基于小波降噪和自适应滤波的程序，已经调试可以使用。(Program based on wavelet noise reduction and adaptive filtering using matlab, debugging can use.)