一、首先实现 laplacian金字塔的分割和重构
#include "stdafx.h"
#include <iostream>
#include <vector>
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/features2d/features2d.hpp>
#include <opencv2/calib3d/calib3d.hpp>
using namespace std;
using namespace cv;
int _tmain(int argc, _TCHAR* argv[])
{
Mat src = imread("Lena.jpg");
src.convertTo(src,CV_32F,1.0/255);
imshow("src",src);
/*src.convertTo(src,CV_32F,1/255);*/
Mat src2= src.clone();
Mat dst;
Mat lastmat;
vector<Mat> vecMats;
Mat tmp;
for (int i=0;i<4;i++)
{
pyrDown(src2,src2);
pyrUp(src2,tmp);
resize(tmp,tmp,src.size());
tmp = src - tmp;
vecMats.push_back(tmp);
src = src2;
}
lastmat = src;
//重建
for (int i=3;i>=0;i--)
{
pyrUp(lastmat,lastmat);
resize(lastmat,lastmat,vecMats[i].size());
lastmat = lastmat + vecMats[i];
}
imshow("dst",lastmat);
waitKey();
return 0;
}
使用工具比对也是完全一样的
二、实现每个金字塔层面的linearblend
还有许多需要优化的地方，并且应该去寻找知识的支持。
