尝试使用opencv做photoshop的颜色平衡 [英] Trying to make color balance of photoshop using opencv

问题描述

我想在 Photoshop 中像颜色平衡 >

>

如果我们在Photoshop中有相同的位置，那么我们如何在OpenCV中使用它们，因为我不能理解的问题是我们有 RGB format是的，我们可以转换为其他颜色格式，但我怎么能理解这些值（我们需要减去OpenCV中的青色值，如果Cyan Level是-20在PS？或者我们需要添加？），并做同样的操作在OpenCV，
例如，如果我需要更改 Cyan ， Magenta 和 Blue 我需要先转换图片以添加青色和品红色的值，然后将其转换回 BGR ，然后增加 blue ？
在OpenCv中有对于阴影，中音和突出显示的任何内置函数

像这样

  Mat img = imread（E：\\raw_3.jpg）; 
 vector< Mat>颜色; 
 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（）; 
 

青色 - 红色= -23洋红色 - 绿色= 40黄色 - 蓝色= 69但我不是得到准确的结果，因为它应该是

解决方案

1，尝试 - 所有你需要做的是更改符号， ！

2，了解其他颜色表示< a> - 你几乎不想在RGB中直接进行这种操作。

颜色非常复杂，开始的好地方是 color faq

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

解决方案

1, Try it - all you have to do is change the sign, and recompile!

2, Learn about other color representations - you almost never want to do this sort of operation directly in RGB.

Color is surprisingly complex, a good place to start is the color faq

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