合并两个显示亮度的图像 [英] Merging two images showing brightness

问题描述

我想混合两个图像，或者你可以说在其他图像上放置一个图像，当我应用混合覆盖图像或简单的合并两个图像，它显示在它的亮度。

这里是我的两个图像（第一个vignette从里面是空的，它不包含中心的亮度）

，另一个是

我所做的代码是

  int main（int argc，char ** argv）
 {
 Mat img = imread（E：\\vig.png， -  1）; 
 Mat ch [4]; 
 split（img，ch）; 
 Mat im2 = ch [3]; //这里是小插曲
 im2 = 255  -  im2; // finally cure the inversion 
 Mat img2 = imread（E：\\ew.jpg）; 
 Mat out2; 
 blending_overlay3（img2，im2，out2）; 
 imshow（image，out2）; 
 imwrite（E：\\image.jpg，out2）; 
 waitKey（）;} 
  

$ b

但我需要类似

的结果

EDIT

图像是中空/空的从中心（小插图一），但是当我用我的程序读取图像（小插图一），然后它变得实心（明亮）从中心，其实现的历史在这里

有唯一的问题，它与第一（小插图）图像读取，如果它读取，就像中空/空的中心，使我们合并/混合/重量的其他图像适用它不影响图像的中心部分，甚至不显示亮度等，这是我想做的

解决方案

我得到的结果：

代码：

  #include< iostream> 
 #include< vector> 
 #include< stdio.h> 
 #include< functional> 
 #include< algorithm> 
 #include< numeric> 
 #include< cstddef> 
 #includeopencv2 / opencv.hpp
 #include< iostream> 
 #include< fstream> 
 
 using namespace std; 
 using namespace cv; 
 int main（int argc，char ** argv）
 {
 namedWindow（Image）; 
 
 Mat Img1 = imread（Img1.png， -  1）; 
 Mat Img2 = imread（Img2.png）; 
 cv :: resize（Img1，Img1，Img2.size（））; 
 Img1.convertTo（Img1，CV_32FC4,1.0 / 255.0）; 
 Img2.convertTo（Img2，CV_32FC3,1.0 / 255.0）; 
 
 vector< Mat> ch; 
 split（Img1，ch）; 
 
 Mat mask = ch [3] .clone（）; //这里是小插曲
 
 ch.resize（3）; 
 
 Mat I1，I2，result; 
 
 cv :: multiply（mask，ch [0]，ch [0]）; 
 cv :: multiply（mask，ch [1]，ch [1]）; 
 cv :: multiply（mask，ch [2]，ch [2]）; 
 merge（ch，I1）; 
 
 vector< Mat> ch2（3）; 
 split（Img2，ch2）; 
 cv :: multiply（1.0-mask，ch2 [0]，ch2 [0]）; 
 cv :: multiply（1.0-mask，ch2 [1]，ch2 [1]）; 
 cv :: multiply（1.0-mask，ch2 [2]，ch2 [2]）; 
 merge（ch2，I2）; 
 
 result = I1 + I2; 
 
 imshow（Image，result）; 
 waitKey（0）; 
} 
  

I am trying to blend two image or you can say put one image on other image , when i apply blending overlay on the image or simple merge two image it show me brightness in it.

here are my two images (first vignette is empty from inside , its not containing brightness in the centre )

and the other is

The code which i did is

int main( int argc, char** argv )
{
    Mat img=imread("E:\\vig.png",-1); 
    Mat ch[4]; 
    split(img,ch);
    Mat im2 = ch[3];              // here's the vignette
    im2 = 255 - im2; // eventually cure the inversion
    Mat img2 = imread("E:\\ew.jpg");
    Mat out2;
    blending_overlay3(img2 , im2 , out2);
    imshow("image",out2);
    imwrite("E:\\image.jpg",out2);
    waitKey();}

It show me the result like

but i require result like

EDIT

The first image is hollow/empty from center (the vignette one) , but when i read the image (vignette one) with my program then it become solid(bright) from the center , the history behind its implementation is here

There is the only problem and its with first (vignette) image reading , if it read as it is , like hollow/empty from the center , so that the other image with which we merge/blend/weight whatever apply it didn't effect the center part of the image , not even show brightness etc , that's what i want to do

解决方案

it's me again :) It seems you are writing new photoshop.

The result I've got:

The code:

#include <iostream>
#include <vector>
#include <stdio.h>
#include <functional>
#include <algorithm>
#include <numeric>
#include <cstddef>
#include "opencv2/opencv.hpp"
#include <iostream>
#include <fstream>

using namespace std;
using namespace cv;
 int main( int argc, char** argv )
{
    namedWindow("Image");

    Mat Img1=imread("Img1.png",-1);
    Mat Img2=imread("Img2.png");
    cv::resize(Img1,Img1,Img2.size());
    Img1.convertTo(Img1,CV_32FC4,1.0/255.0);
    Img2.convertTo(Img2,CV_32FC3,1.0/255.0);

    vector<Mat> ch; 
    split(Img1,ch);

    Mat mask = ch[3].clone();              // here's the vignette

    ch.resize(3);

    Mat I1,I2,result;

    cv::multiply(mask,ch[0],ch[0]);
    cv::multiply(mask,ch[1],ch[1]);
    cv::multiply(mask,ch[2],ch[2]);
    merge(ch,I1);

    vector<Mat> ch2(3);
    split(Img2,ch2);
    cv::multiply(1.0-mask,ch2[0],ch2[0]);
    cv::multiply(1.0-mask,ch2[1],ch2[1]);
    cv::multiply(1.0-mask,ch2[2],ch2[2]);
    merge(ch2,I2);

    result=I1+I2;

    imshow("Image",result);
    waitKey(0);
}

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