A_particle_filter_based_fusion_framework_for_video

基于互信息的图像配准算法，优化算法采用Powell和粒子群向结合的算法(Based on mutual information image registration algorithm, using Powell optimization algorithm and particle swarm algorithm to combine)

对李纯明的DRLSE进行了改进 利用各向异性扩散提高了分割弱边缘的能力 改进的高斯滤波代替惩罚项 加快了演化速度 节省了时间(The DRLSE to LiChunMing improved using anisotropic diffusion improve the segmentation of improvement of the ability weak edge gaussian filtering instead of penalty term accelerated evolution speed save time)

编程实现小波的边缘检测算法，对图片的边缘处理(Edge Detection Algorithms of Wavelet Based on Programming)

用SAV函数实现分析图像数据的实用程序，功能上基本可以实现的。(with HBV Function analysis of image data of practical procedures, the basic function can be realized.)

图像处理中压缩感知理论，对一维信号运用omp重构(Compressed sensing image processing theory, the use of one-dimensional signal omp reconstructed)

说明：  计算ssim值的程序，这个程序是用python语言编写的(Calculate the SSIM value of the program, this program is written in Python language.)

各类图形处理算法代码，齐全的图形处理算法，可以直接运行。去噪，识别，检测，拼接等(Complete graphics processing algorithm, you can run directly. Denoising, identification, detection, stitching and so on)

将原始载体图片经过一维冗余离散小波变换分成四个子频带，分别对每个子频带进行奇异值分解， 将水印图片灰度值直接按比例缩小嵌入到奇异值矩阵中，再将此矩阵进行一次奇异值分解得到奇异值当做此子带的奇异值， 重建此子带矩阵，而后将进行反冗余离散小波变换得到嵌入载体后的水印图像。(The original image after the one-dimensional vector redundant discrete wavelet transform is divided into four subbands, respectively, of each sub-band for the singular value decomposition, the watermark image gray value scale down directly embedded into the matrix singular value, then this matrix is ​ ​ a Singular value decomposition singular value as the singular values ​ ​ of this sub-band, the reconstruction of this sub-band matrix and after anti-redundant discrete wavelet transform watermark image after embedding the carrier.)

将两张图像进行图像相减或相处，使两张图片叠加。(The two images are subtracted or coexisted, so that the two images are superimposed.)

基于IBP算法的超分辨率图像重建，原理讲得十分清楚。(Super-resolution image reconstruction based on IBP algorithm. The principle is very clear.)