Increment the value of each pixel of an image












0















I have an image. I want to modify the image in such a way that the value of each pixel is increased by a particular margin. Next I want to save the newly created image and display it.



I tried changing each pixel value but was only able to set it to constant value. I don't want all the pixels to be constant but their value should increase by (lets say) 50.



#include <iostream>
#include "opencv2/highgui/highgui.hpp"

using namespace std;
using namespace cv;

int main()
{
Mat image;
image = imread("/home/rohit_136/Desktop/image.jpg",CV_LOAD_IMAGE_UNCHANGED);
for (int i = 0; i < image.cols; i++) {
for (int j = 0; j < image.rows; j++) {
Vec3b intensity = image.at<Vec3b>(j, i)=50
}
}
return 0;
}









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  • The code you wrote won't compile. When posting code, try to post actual code.

    – Yakk - Adam Nevraumont
    Mar 22 '17 at 19:55
















0















I have an image. I want to modify the image in such a way that the value of each pixel is increased by a particular margin. Next I want to save the newly created image and display it.



I tried changing each pixel value but was only able to set it to constant value. I don't want all the pixels to be constant but their value should increase by (lets say) 50.



#include <iostream>
#include "opencv2/highgui/highgui.hpp"

using namespace std;
using namespace cv;

int main()
{
Mat image;
image = imread("/home/rohit_136/Desktop/image.jpg",CV_LOAD_IMAGE_UNCHANGED);
for (int i = 0; i < image.cols; i++) {
for (int j = 0; j < image.rows; j++) {
Vec3b intensity = image.at<Vec3b>(j, i)=50
}
}
return 0;
}









share|improve this question

























  • The code you wrote won't compile. When posting code, try to post actual code.

    – Yakk - Adam Nevraumont
    Mar 22 '17 at 19:55














0












0








0








I have an image. I want to modify the image in such a way that the value of each pixel is increased by a particular margin. Next I want to save the newly created image and display it.



I tried changing each pixel value but was only able to set it to constant value. I don't want all the pixels to be constant but their value should increase by (lets say) 50.



#include <iostream>
#include "opencv2/highgui/highgui.hpp"

using namespace std;
using namespace cv;

int main()
{
Mat image;
image = imread("/home/rohit_136/Desktop/image.jpg",CV_LOAD_IMAGE_UNCHANGED);
for (int i = 0; i < image.cols; i++) {
for (int j = 0; j < image.rows; j++) {
Vec3b intensity = image.at<Vec3b>(j, i)=50
}
}
return 0;
}









share|improve this question
















I have an image. I want to modify the image in such a way that the value of each pixel is increased by a particular margin. Next I want to save the newly created image and display it.



I tried changing each pixel value but was only able to set it to constant value. I don't want all the pixels to be constant but their value should increase by (lets say) 50.



#include <iostream>
#include "opencv2/highgui/highgui.hpp"

using namespace std;
using namespace cv;

int main()
{
Mat image;
image = imread("/home/rohit_136/Desktop/image.jpg",CV_LOAD_IMAGE_UNCHANGED);
for (int i = 0; i < image.cols; i++) {
for (int j = 0; j < image.rows; j++) {
Vec3b intensity = image.at<Vec3b>(j, i)=50
}
}
return 0;
}






c++ image c++11 opencv3.0






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edited Mar 22 '17 at 19:54









Yakk - Adam Nevraumont

187k20198382




187k20198382










asked Mar 22 '17 at 19:05









RohitRohit

815




815













  • The code you wrote won't compile. When posting code, try to post actual code.

    – Yakk - Adam Nevraumont
    Mar 22 '17 at 19:55



















  • The code you wrote won't compile. When posting code, try to post actual code.

    – Yakk - Adam Nevraumont
    Mar 22 '17 at 19:55

















The code you wrote won't compile. When posting code, try to post actual code.

– Yakk - Adam Nevraumont
Mar 22 '17 at 19:55





The code you wrote won't compile. When posting code, try to post actual code.

– Yakk - Adam Nevraumont
Mar 22 '17 at 19:55












2 Answers
2






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Vec3b is a vector which contains 3 bytes (chars). Each byte denotes the value of an individual BGR (blue, green, red) or RGB channel. You should traverse this vector and modify each channel independently. Be careful, because we are talking about bytes, each byte should take a value between 0 and 255. I suggest setting a threshold for avoiding overflow.



Note: if you don't care about alpha channel, I suggest loading your image with CV_LOAD_IMAGE_COLOR. This will ensure that your image is loaded in the BGR format.






share|improve this answer































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    cv::Mat Image =cv::imread("image.jpg");
    uint8_t * orig_ptr = (uint8_t*)Image.data;
    for (int y = 0; y < Image.rows; y++)
    {
    for (int x = 0; x < Image.cols; x++)
    {
    /*Reading Pizel Values*/
    int R = orig_ptr[x * 3 + y*Image.step + 2];/*R -Pixel*/
    int G = orig_ptr[x * 3 + y*Image.step + 1];/*G-Pixel*/
    int B = orig_ptr[x * 3 + y*Image.step]; /*B-Pixel*/

    /*Updating Values*/

    orig_ptr[x * 3 + y*Image.step + 2] = cv::saturate_cast<uint8_t>(R + 50);
    orig_ptr[x * 3 + y*Image.step + 1] =cv::saturate_cast<uint8_t>(G + 50);
    orig_ptr[x * 3 + y*Image.step]=cv::saturate_cast<uint8_t>(B + 50);
    }
    }





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      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

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      active

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      0














      Vec3b is a vector which contains 3 bytes (chars). Each byte denotes the value of an individual BGR (blue, green, red) or RGB channel. You should traverse this vector and modify each channel independently. Be careful, because we are talking about bytes, each byte should take a value between 0 and 255. I suggest setting a threshold for avoiding overflow.



      Note: if you don't care about alpha channel, I suggest loading your image with CV_LOAD_IMAGE_COLOR. This will ensure that your image is loaded in the BGR format.






      share|improve this answer




























        0














        Vec3b is a vector which contains 3 bytes (chars). Each byte denotes the value of an individual BGR (blue, green, red) or RGB channel. You should traverse this vector and modify each channel independently. Be careful, because we are talking about bytes, each byte should take a value between 0 and 255. I suggest setting a threshold for avoiding overflow.



        Note: if you don't care about alpha channel, I suggest loading your image with CV_LOAD_IMAGE_COLOR. This will ensure that your image is loaded in the BGR format.






        share|improve this answer


























          0












          0








          0







          Vec3b is a vector which contains 3 bytes (chars). Each byte denotes the value of an individual BGR (blue, green, red) or RGB channel. You should traverse this vector and modify each channel independently. Be careful, because we are talking about bytes, each byte should take a value between 0 and 255. I suggest setting a threshold for avoiding overflow.



          Note: if you don't care about alpha channel, I suggest loading your image with CV_LOAD_IMAGE_COLOR. This will ensure that your image is loaded in the BGR format.






          share|improve this answer













          Vec3b is a vector which contains 3 bytes (chars). Each byte denotes the value of an individual BGR (blue, green, red) or RGB channel. You should traverse this vector and modify each channel independently. Be careful, because we are talking about bytes, each byte should take a value between 0 and 255. I suggest setting a threshold for avoiding overflow.



          Note: if you don't care about alpha channel, I suggest loading your image with CV_LOAD_IMAGE_COLOR. This will ensure that your image is loaded in the BGR format.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Mar 22 '17 at 20:28









          Ervin SzilagyiErvin Szilagyi

          1,4012517




          1,4012517

























              0














              cv::Mat Image =cv::imread("image.jpg");
              uint8_t * orig_ptr = (uint8_t*)Image.data;
              for (int y = 0; y < Image.rows; y++)
              {
              for (int x = 0; x < Image.cols; x++)
              {
              /*Reading Pizel Values*/
              int R = orig_ptr[x * 3 + y*Image.step + 2];/*R -Pixel*/
              int G = orig_ptr[x * 3 + y*Image.step + 1];/*G-Pixel*/
              int B = orig_ptr[x * 3 + y*Image.step]; /*B-Pixel*/

              /*Updating Values*/

              orig_ptr[x * 3 + y*Image.step + 2] = cv::saturate_cast<uint8_t>(R + 50);
              orig_ptr[x * 3 + y*Image.step + 1] =cv::saturate_cast<uint8_t>(G + 50);
              orig_ptr[x * 3 + y*Image.step]=cv::saturate_cast<uint8_t>(B + 50);
              }
              }





              share|improve this answer




























                0














                cv::Mat Image =cv::imread("image.jpg");
                uint8_t * orig_ptr = (uint8_t*)Image.data;
                for (int y = 0; y < Image.rows; y++)
                {
                for (int x = 0; x < Image.cols; x++)
                {
                /*Reading Pizel Values*/
                int R = orig_ptr[x * 3 + y*Image.step + 2];/*R -Pixel*/
                int G = orig_ptr[x * 3 + y*Image.step + 1];/*G-Pixel*/
                int B = orig_ptr[x * 3 + y*Image.step]; /*B-Pixel*/

                /*Updating Values*/

                orig_ptr[x * 3 + y*Image.step + 2] = cv::saturate_cast<uint8_t>(R + 50);
                orig_ptr[x * 3 + y*Image.step + 1] =cv::saturate_cast<uint8_t>(G + 50);
                orig_ptr[x * 3 + y*Image.step]=cv::saturate_cast<uint8_t>(B + 50);
                }
                }





                share|improve this answer


























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                  cv::Mat Image =cv::imread("image.jpg");
                  uint8_t * orig_ptr = (uint8_t*)Image.data;
                  for (int y = 0; y < Image.rows; y++)
                  {
                  for (int x = 0; x < Image.cols; x++)
                  {
                  /*Reading Pizel Values*/
                  int R = orig_ptr[x * 3 + y*Image.step + 2];/*R -Pixel*/
                  int G = orig_ptr[x * 3 + y*Image.step + 1];/*G-Pixel*/
                  int B = orig_ptr[x * 3 + y*Image.step]; /*B-Pixel*/

                  /*Updating Values*/

                  orig_ptr[x * 3 + y*Image.step + 2] = cv::saturate_cast<uint8_t>(R + 50);
                  orig_ptr[x * 3 + y*Image.step + 1] =cv::saturate_cast<uint8_t>(G + 50);
                  orig_ptr[x * 3 + y*Image.step]=cv::saturate_cast<uint8_t>(B + 50);
                  }
                  }





                  share|improve this answer













                  cv::Mat Image =cv::imread("image.jpg");
                  uint8_t * orig_ptr = (uint8_t*)Image.data;
                  for (int y = 0; y < Image.rows; y++)
                  {
                  for (int x = 0; x < Image.cols; x++)
                  {
                  /*Reading Pizel Values*/
                  int R = orig_ptr[x * 3 + y*Image.step + 2];/*R -Pixel*/
                  int G = orig_ptr[x * 3 + y*Image.step + 1];/*G-Pixel*/
                  int B = orig_ptr[x * 3 + y*Image.step]; /*B-Pixel*/

                  /*Updating Values*/

                  orig_ptr[x * 3 + y*Image.step + 2] = cv::saturate_cast<uint8_t>(R + 50);
                  orig_ptr[x * 3 + y*Image.step + 1] =cv::saturate_cast<uint8_t>(G + 50);
                  orig_ptr[x * 3 + y*Image.step]=cv::saturate_cast<uint8_t>(B + 50);
                  }
                  }






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Jan 1 at 6:57









                  niranjan reddyniranjan reddy

                  213




                  213






























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