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  • OpenCV——饱和度调整

    参考:

     闲人阿发伯的博客

    // define head function
    #ifndef PS_ALGORITHM_H_INCLUDED
    #define PS_ALGORITHM_H_INCLUDED
    #include <iostream>
    #include <string>
    #include "cv.h"
    #include "highgui.h"
    #include "cxmat.hpp"
    #include "cxcore.hpp"
    using namespace std;
    using namespace cv;
    void Show_Image(Mat&, const string &);
    
    #endif // PS_ALGORITHM_H_INCLUDED
    
    /*
    This program adjust
    the saturation.
    */
    #include "PS_Algorithm.h"
    #include <time.h>
    using namespace std;
    using namespace cv;
    int main(void)
    {
        string Img_name("4.jpg");
        Mat Img;
        Img=imread(Img_name);
        Show_Image(Img, Img_name);
        Mat Img_out(Img.size(), CV_32FC3);
        Img.convertTo(Img_out, CV_32FC3);
        Mat Img_in(Img.size(), CV_32FC3);
        Img.convertTo(Img_in, CV_32FC3);
        // define the iterator of the input image
        MatIterator_<Vec3f> inp_begin, inp_end;
        inp_begin=Img_in.begin<Vec3f>();
        inp_end =Img_in.end<Vec3f>();
    
        // define the iterator of the output image
        MatIterator_<Vec3f> out_begin, out_end;
        out_begin=Img_out.begin<Vec3f>();
        out_end =Img_out.end<Vec3f>();
    
        // increment (-100.0, 100.0)
        float Increment=-50.0/100.0;
    
        float delta=0;
        float minVal, maxVal;
        float t1, t2, t3;
        float L,S;
        float alpha;
    
        for(; inp_begin!=inp_end; inp_begin++, out_begin++)
        {
            t1=(*inp_begin)[0];
            t2=(*inp_begin)[1];
            t3=(*inp_begin)[2];
    
            minVal=std::min(std::min(t1,t2),t3);
            maxVal=std::max(std::max(t1,t2),t3);
            delta=(maxVal-minVal)/255.0;
            L=0.5*(maxVal+minVal)/255.0;
            S=std::max(0.5*delta/L, 0.5*delta/(1-L));
    
            if (Increment>0)
            {
                alpha=max(S, 1-Increment);
                alpha=1.0/alpha-1;
                (*out_begin)[0]=(*inp_begin)[0]+((*inp_begin)[0]-L*255.0)*alpha;
                (*out_begin)[1]=(*inp_begin)[1]+((*inp_begin)[1]-L*255.0)*alpha;
                (*out_begin)[2]=(*inp_begin)[2]+((*inp_begin)[2]-L*255.0)*alpha;
            }
            else
            {
                alpha=Increment;
                (*out_begin)[0]=L*255.0+((*inp_begin)[0]-L*255.0)*(1+alpha);
                (*out_begin)[1]=L*255.0+((*inp_begin)[1]-L*255.0)*(1+alpha);
                (*out_begin)[2]=L*255.0+((*inp_begin)[2]-L*255.0)*(1+alpha);
    
            }
        }
        Img_out=Img_out/255.0;
        Show_Image(Img_out, "out");
        imwrite("out.jpg", Img_out*255);
        waitKey();
        cout<<"All is well."<<endl;
    }
    
    // define the show image
    #include "PS_Algorithm.h"
    #include <iostream>
    #include <string>
    
    using namespace std;
    using namespace cv;
    
    void Show_Image(Mat& Image, const string& str)
    {
        namedWindow(str.c_str(),CV_WINDOW_AUTOSIZE);
        imshow(str.c_str(), Image);
    
    }
    

    原图 


    效果图


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  • 原文地址:https://www.cnblogs.com/mtcnn/p/9412618.html
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