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I am uploading the image , here is my code

Mat mSrc = imread("E:\\my.jpg");
imshow("orignal" , mSrc);
waitKey();

my image is of 7 mb and its not uploading here

I want to make the same thing programmatically like Color balance in Photoshop , like in below image

if we have same bar positions in Photoshop then how we can make them in OpenCV , because the problem which I am uploading not understanding is that we have the image , here with RGB format yes we can convert in other color format but how I can understand these values (do we need to subtract the Cyan values in OpenCV if Cyan Level is my code-20 in PS ? Or we need to Add ?) and did the same operation in OpenCV , For example if I need to change values in Cyan , Magenta and Blue Do I need to convert image first to add values in Cyan and magenta and then convert it back to BGR and then increase blue ? And is there any built in function in OpenCv for Shadows , MidTones and Highlight

Mat mSrc = imread("E:\\my.jpg");
imshow("orignal" , mSrc);
waitKey();

I want to make the same thing programmatically like Color balance in Photoshop , like in below image

if we have same bar positions in Photoshop then how we can make them in OpenCV , because the problem which I am not understanding is that we have the image with RGB format yes we can convert in other color format but how I can understand these values (do we need to subtract the Cyan values in OpenCV if Cyan Level is -20 in PS ? Or we need to Add ?) and did the same operation in OpenCV , For example if I need to change values in Cyan , Magenta and Blue Do I need to convert image first to add values in Cyan and magenta and then convert it back to BGR and then increase blue ? And is there any built in function in OpenCv for Shadows , MidTones and Highlight

    Mat img = imread("E:\\raw_3.jpg");
    vector<Mat> colors;
    split(img,colors);
    colors[0] += 69;
    colors[1] += 40 ;
    colors[2] -= 23 ;
    merge(colors,img);
    imshow("image" , img);
    imwrite("E:\\color_balance.jpg",img);
    waitKey();

I want to make the same thing programmatically like Color balance in Photoshop , like in below image

if we have same bar positions in Photoshop then how we can make them in OpenCV , because the problem which I am not understanding is that we have the image with RGB format yes we can convert in other color format but how I can understand these values (do we need to subtract the Cyan values in OpenCV if Cyan Level is -20 in PS ? Or we need to Add ?) and did the same operation in OpenCV , For example if I need to change values in Cyan , Magenta and Blue Do I need to convert image first to add values in Cyan and magenta and then convert it back to BGR and then increase blue ? And is there any built in function in OpenCv for Shadows , MidTones and Highlight

I am trying something like this

    Mat img = imread("E:\\raw_3.jpg");
    vector<Mat> colors;
    split(img,colors);
    colors[0] += 69;
    colors[1] += 40 ;
    colors[2] -= 23 ;
    merge(colors,img);
    imshow("image" , img);
    imwrite("E:\\color_balance.jpg",img);
    waitKey();

for Cyan - red = -23 Magenta - Green = 40 Yellow - Blue = 69 But i am not getting the accurate result as it should be

I want to make the same thing programmatically like Color balance in Photoshop , like in below image

if we have same bar positions in Photoshop then how we can make them in OpenCV , because the problem which I am not understanding is that we have the image with RGB format yes we can convert in other color format but how I can understand these values (do we need to subtract the Cyan values in OpenCV if Cyan Level is -20 in PS ? Or we need to Add ?) and did the same operation in OpenCV , For example if I need to change values in Cyan , Magenta and Blue Do I need to convert image first to add values in Cyan and magenta and then convert it back to BGR and then increase blue ? And is there any built in function in OpenCv for Shadows , MidTones and Highlight

I am trying something like this

    Mat img = imread("E:\\raw_3.jpg");
    vector<Mat> colors;
    split(img,colors);
    colors[0] += 69;
    colors[1] += 40 ;
    colors[2] -= 23 ;
    merge(colors,img);
    imshow("image" , img);
    imwrite("E:\\color_balance.jpg",img);
    waitKey();

for Cyan - --- red = -23 Magenta - --- Green = 40 Yellow - --- Blue = 69 But i am not getting the accurate result as it should be

I want to make Here is the same thing programmatically like Color balance in Photoshop , like in below imagedefinition which i read from the net source

if we have same bar positions in Photoshop then how we can make them in OpenCV , because the problem which I am not understanding is that we have the image with RGB format yes we can convert in other color format but how I can understand these values (do we need to subtract the Cyan values in OpenCV if Cyan Level is -20 in PS ? Or we need to Add ?) and did the same operation in OpenCV , For example if I need to change values in Cyan , Magenta and Blue Do I need to convert image first to add values in Cyan and magenta and then convert it back to BGR and then increase blue ? And is there any built in function in OpenCv for Shadows , MidTones and Highlight

I am trying something like this1st is

    Mat img Midtone: Situated between the darkest tone (Black), and the brightest tone (White). For a 24 bit colour image, this occurs when Red = imread("E:\\raw_3.jpg");
    vector<Mat> colors;
    split(img,colors);
    colors[0] += 69;
    colors[1] += 40 ;
    colors[2] -= 23 ;
    merge(colors,img);
    imshow("image" , img);
    imwrite("E:\\color_balance.jpg",img);
    waitKey();
Green = Blue = 128.

and the other is

Tones created by dots between 30% and 70% of coverage

What i got from these definition is that the pixels whose values are 0 or 255 we should adjust them to 128 . Am i taking the definition right ? I don't want to use the way of Histogram Equalization as according to my knowledge its also use for Cyan --- red = -23 Magenta --- Green = 40 Yellow --- Blue = 69 But i am not getting the accurate result as it should bebrightness of image

Here is the definition which i read from the net source

1st is

Midtone: Situated between the darkest tone (Black), and the brightest tone (White). For a 24 bit colour image, this occurs when Red = Green = Blue = 128.

and the other is

Tones created by dots between 30% and 70% of coverage

and

Midtone also refers to the range of colors that aren't mixed with black (the shadows) or white (the highlights).

What i got from these definition is that the pixels whose values are 0 or 255 we should adjust them to 128 . Am i taking the definition right ? I don't want to use the way of Histogram Equalization as according to my knowledge its also use for brightness of image

Here is the definition which i read from the net source

1st is

Midtone: Situated between the darkest tone (Black), and the brightest tone (White). For a 24 bit colour image, this occurs when Red = Green = Blue = 128.

and the other is

Tones created by dots between 30% and 70% of coverage

and

Midtone also refers to the range of colors that aren't mixed with black (the shadows) or white (the highlights).

What i got from these definition is that the pixels whose values are 0 or 255 we should adjust them to 128 . Am i taking the definition right ? I don't want to use the way of Histogram Equalization as according to my knowledge its also use for brightness of image

Here is the definition which i read from the net source

1st is

 
Midtone: Situated between the darkest tone (Black), and the brightest tone (White). For a 24 bit colour image, this occurs when Red = Green = Blue = 128.
128.

and the other is

Tones created by dots between 30% and 70% of coverage

and

 
Midtone also refers to the range of colors that aren't mixed with black (the shadows) or white (the highlights).
highlights).

What i got from these definition is that the pixels whose values are 0 or 255 255 we should adjust them to 128 128 . Am i taking the definition right ? I don't want to use the way of Histogram Equalization as according to my knowledge its also use for brightness of image