manual_v1.2.pdf

说明：  小波变化是对傅里叶变换和短时傅里叶变换的一个突破，其改变就在于，将无限长的三角函数基换成了有限长的会衰减的小波。(Wavelet transform is a breakthrough of Fourier transform and short-time Fourier transform. Its change lies in that the infinite trigonometric function base is replaced by the finite attenuation wavelet.)

这是matlab官方网站的一个快速实现svd分解的函数，通过对矩阵的截断加速(This is a quick realization svd decomposition function matlab official website, through the cut-off acceleration matrix)

像点坐标自动提取，使用Matlab软件中图像处理的功能，来实现达亚像素水平的像点定位和坐标的自动获取。(Automatic extraction of image point coordinates)

针对同一场景可见光与红外图像的融合问题,提出了一种新的多尺度对比度塔图像融合方法. 该方法 利用对比度金字塔数据结构得到图像的多分辨序列,采用基于视觉特性的融合算子在图像的相应各级上融 合源图像的细节,再通过金字塔逆变换重构出最终融合图像. 这种图像处理方法具自适应性,不随各自输入 图像的灰度特性而改变,同时增强了融合图像的对比度,产生了较好的视觉处理效果.(for the same scene of visible and infrared images of integration, proposed a new multi-scale tower contrast images. The use of contrast pyramid data structure Image multiresolution sequence, based on visual characteristics of the integration operator of the image corresponding levels of integration details of the source image, through the inverse pyramid transform eventually fused images. This image processing method has adaptability without their input image with the gray characteristics change, while enhancing the integration of the contrast of the image. have a better visual effect.)

图像处理标准测试图片库，用于数字图像处理各种仿真实验。(Standard test image gallery image processing to digital image processing all kinds of simulation experiments.)

用帧差法找出运动物体，并用形态学滤波恢复物体(Identify moving objects in frame difference method and morphological filtering restore objects)

说明：  可以检测行人和车辆，MATLAB的版本是R2017b，(It can detect pedestrians and vehicles. The version of MATLAB is r2017b)

图片的旋转、截图、灰度、翻转、滤波、去噪等基本处理(Image rotation, screenshots, gray, flip, filtering, noise and other basic processing)

说明：  criminisi算法。传统的criminisi图像修复算法，可对破损图像进行纹理修复(Criminisi algorithm. The traditional criminisi image restoration algorithm can repair the damaged image texture)

说明：  基于MATLAB平台下，可获取图片任意点的像素坐标。(Based on MATLAB platform, the pixel coordinates of any point in the picture can be obtained.)