Image are basically matrices of pixel values.Thus Image Blending or Image Merging in layman terms simply means that adding the pixel values at a particular co-ordinates of two images.
Note:-Images should be of the same size.
For e.g if the pixel value of two gray-scale images at a particular location are 120 and 35 respectively.Then after blending the pixel value at that particular co-ordinate would become 155.
Note:
Grayscale image is the one where each pixel is stored as a single byte(8 bits). Thus the pixel values can range from 0 to 255. Where 0 denotes black and 255 denotes white.
So,What would happen if the pixel value of the two gray-scale images when merged exceed 255?
For e.g
Let the pixel value at the particular co-ordinate is 250 (would appear white)and that of the other image at the same co-ordinate is 120 (would appear dark). After merging it would appear white because the pixel value at the respective co-ordinate of the merged image would be 255.Since 120+240>255)
Thus the lowest value of the pixel is 0. So even if we multiply a pixel value by -1.
The pixel value of the modified image would be 0.
i.e. If the pixel value at a particular co-ordinate is 255 (white) and if we multiply it by -1.Then the pixel at that point of image would become 0 (black).
We can check the above concept by accessing the pixel value of the merged image at a particular point.
Refer:
http://opencv-code.blogspot.in/2016/12/how-to-access-extract-pixel-value-particular-location-image.html
The code for merging/blending the two images are as shown below:
Input Images:
Output:
Multiplying Pixel Value By -1:
What would happen if we multiply the pixels by -1?
Since the minimum value of the pixel can be 0.Thus whole of the image would appear black.
Note:Here again we have assumed that the images are of same size.Hence we have not included the code for comparing the size of images which are to be merged.
Output:
Dont you think by including a for loop we can achieve a smooth transition effect between two images.
Note:-Images should be of the same size.
For e.g if the pixel value of two gray-scale images at a particular location are 120 and 35 respectively.Then after blending the pixel value at that particular co-ordinate would become 155.
Note:
Grayscale image is the one where each pixel is stored as a single byte(8 bits). Thus the pixel values can range from 0 to 255. Where 0 denotes black and 255 denotes white.
So,What would happen if the pixel value of the two gray-scale images when merged exceed 255?
For e.g
Let the pixel value at the particular co-ordinate is 250 (would appear white)and that of the other image at the same co-ordinate is 120 (would appear dark). After merging it would appear white because the pixel value at the respective co-ordinate of the merged image would be 255.Since 120+240>255)
Thus the lowest value of the pixel is 0. So even if we multiply a pixel value by -1.
The pixel value of the modified image would be 0.
i.e. If the pixel value at a particular co-ordinate is 255 (white) and if we multiply it by -1.Then the pixel at that point of image would become 0 (black).
We can check the above concept by accessing the pixel value of the merged image at a particular point.
Refer:
http://opencv-code.blogspot.in/2016/12/how-to-access-extract-pixel-value-particular-location-image.html
The code for merging/blending the two images are as shown below:
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main()
{
Mat src1, src2, src3;
/// Read image ( same size, same type )
src1 = imread("C:\\Users\\arjun\\Desktop\\red.jpg");
src2 = imread("C:\\Users\\arjun\\Desktop\\green.jpg");
///Comparing whether the two images are of same size or not
int width1 , width2 , height1 , height2;
width1 =src1.cols;
height1=src1.rows;
width2 =src2.cols;
height2=src2.rows;
if (width1!=width2 && height1!=height2)
{
printf("Error:Images must be of the same size \n");
return -1;
}
//Merging two images
src3=src1 + src2;
if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
if( !src2.data ) { printf("Error loading src2 \n"); return -1; }
if( !src3.data ) { printf("Error loading src1 \n"); return -1; }
/// Create Windows
namedWindow("First Image", 1);
imshow( "First Image", src1 );
namedWindow("Second Image", 1);
imshow( "Second Image", src2 );
namedWindow("Blend1 Image", 1);
imshow( "Blend1 Image", src3 );
waitKey(0);
return 0;
}
Input Images:
Red
Green
Output:
Multiplying Pixel Value By -1:
What would happen if we multiply the pixels by -1?
Since the minimum value of the pixel can be 0.Thus whole of the image would appear black.
Note:Here again we have assumed that the images are of same size.Hence we have not included the code for comparing the size of images which are to be merged.
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main()
{
Mat src1, src2;
/// Read image ( same size, same type )
src1 = imread("C:\\Users\\arjun\\Desktop\\red.jpg");
//Merging two images
src2=src1 * (-1);
if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
if( !src2.data ) { printf("Error loading src2 \n"); return -1; }
//src2 = imwrite( "C:\\Users\\arjun\\Desktop\\new1.jpg",src2);
//src2 = imread("C:\\Users\\arjun\\Desktop\\new1.jpg");
/// Create Windows
namedWindow("First Image", 1);
imshow( "First Image", src1 );
namedWindow("Second Image", 1);
imshow( "Second Image", src2 );
waitKey(0);
return 0;
}
Output:
Dont you think by including a for loop we can achieve a smooth transition effect between two images.
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main()
{
Mat src1, src2,src3;
/// Read image ( same size, same type )
src1 = imread("C:\\Users\\arjun\\Desktop\\red.jpg");
src2 = imread("C:\\Users\\arjun\\Desktop\\green.jpg");
//Checking whether images are loaded or not
if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
if( !src2.data ) { printf("Error loading src2 \n"); return -1; }
//Merging two images
for (double i=0; i<=255;i=i+5)
{
src3=(i*src1)/255 + ((255-i)*src2)/255;
/// Create Windows
namedWindow("Blend Image", 1);
imshow( "Blend Image", src3 );
waitKey(250);
}
return 0;
}




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