gspd

说明：  SAR回拨模拟及CS算法成像，参考书：合成孔径雷达成像原理（皮亦鸣）(CS algorithm for SAR call-back simulation and imaging, reference books: Synthetic aperture radar imaging principle (PI Yi-ming))

击中和击不中变换，可以很好的找出想要的图像，对图像识别和分割有很好的帮助(miss or not miss)

3种分别基于选择、交叉、模拟退火的混合粒子群算法，matlab编程。(Were based on three kinds of selection, crossover, hybrid particle swarm simulated annealing algorithm, matlab programming.)

红外与可见光实时融合算法 ------------------------------------ 若不能读取xvid视频，请安装XviD-1.1.3-28062007.exe。 ----------------------------------- 请双击*.bat文件看程序运行结果。 也可以在命令行下，输入“evs3 参数文件.xml 配准.xml”，以融合指定的多源视频图像。 ---------------------------------- 首先，离线地时空配准多源视频，并保存结果到xml文件。然后融合配准后的图像。融合过程是，通过分解图像为Laplacian金字塔，分别对图像的高频和低频按照规则合并，最后将Laplacian金字塔重新组合为图像。(Real time fusion algorithm for infrared and visible light------------------------------------If you cannot read XviD video, please install XviD-1.1.3-28062007.exe.-----------------------------------Double-click the*.bat file to see the program running results.Can also be in the command line, " evs3 input parameter file .Xml .Xml registration ", by the fusion of the specified source video image.----------------------------------First of all, offline space-time registration source video, and save the results to a XML file. After registration and fusion image. Through the decomposition of the image fusion process, Laplacian Pyramid, were on the high-frequency and low frequency image in accordance with the rules of the merger, Laplacian Pyramid reassembled for image.)

用于实现高密度人群聚合检测 包含：边缘检测、灰度共生矩阵计算、SVM特征分量的分类(For achieving high-density population polymerization detector comprises: edge detection, gray level co-occurrence matrix calculation, classification SVM characteristic component)

对视频序列图像的压缩编码，采用了运动预测以增大压缩率(video image sequence coding used to forecast the movement increased compression rate)

image compression using dwt and dct

一种新颖的退化图像复原方法。适用于水下图像复原，图像去雾，颜色矫正等。运用最大差值先验假设和最大局部对比度先验假设，得到退化图像的深度图，简单有效，快速。结合软抠图法和个、shades of the gray 算法实现图像去雾和水下图像复原。(2016CVPR General Participative Media Single Image Restoration)

利用SSDA算法实现模板匹配的功能，该算法可快速有效地完成图像的匹配。(SSDA algorithm on template matching function, the algorithm can quickly and efficiently complete image matching.)

本程序对梯度-灰度共生矩阵进行求解，并对其进行归一化的处理。(Gradient of the program- to solve GLCM, and its normalization processing.)