PSO

说明：  基于小波变换，小波分解的图像融合算法，完整代码(Image fusion algorithm based on wavelet transform and wavelet decomposition, complete code)

利用四元数对彩色图像进行各种图像处理的，如滤波、快速傅立叶变化、图像质量评价等。(Use quaternion various images for color image processing, such as filtering, fast Fourier transform, the image quality evaluation.)

一个关于hough和radon变换的实例,实现了时钟图形做图.(and one in Chinese on hough transform examples and achieve a clock graphic graphics.)

@Wiener filter for Skull X-Ray images

用小波变换进行图像增强，先对原始图像进行非下采样的小波分解，在对每一层的高频分解系数进行处理，得到变换后的小波系数，再进行小波重构。(Image enhancement using wavelet transform, the original image and non-sampling wavelet decomposition in the high frequency decomposition coefficients of each layer, get the wavelet coefficients after the transformation, then the wavelet reconstruction. )

基于DQ效应的JPEG图像真伪检测算法，通过检测图像DCT直方图的DQ效应计算图像的概率图，该算法快速、准确，能自动定位篡改区域(JPEG image detection algorithm based on the authenticity of DQ effect, calculated image by DQ effect detection probability map image DCT histogram, the algorithm is fast, accurate, and can automatically locate tampered area)

MATLAB编写的图像处理程序，主要用于对于目标的检测和跟踪。效果比较好，适合新手。(Image processing program written in MATLAB, mainly used for target detection and tracking. The results were better suited to the novice.)

专门用于测试数码相机的分辨率使用,有实验用图(Specifically for use in testing digital camera resolution)

c++语言或MATLAB编程对256×256的灰度图像进行8×8DCT变换，对变换后的结果进行处理： 采用区域编码和阈值编码方法实现图像压缩，保留 50％ 的系数(区域编码保留前 50%个系数，阈值编码保留 50%的大系数）； 再反变换后，对比原始图像和处理后的图像。(C++ or MATLAB programming performs 8 * 8DCT transform on 256 * 256 grayscale images, processing the transformed results: The region coding and threshold coding are used to compress the image, and the coefficient of 50% is retained (the first 50% coefficients are reserved for the region code and the large coefficient of the threshold code is retained by 50%). After inverse transformation, the original image and the processed image are compared.)

李纯明博士的无需初始化模型的源代码，作者亲自写的。还有测试图象，相信对大家肯定有好处。(Economics Dr. initialization model without the source code, written by the author himself. There test image, I think we will benefit.)