Opencv— — Bias and Gain

来源：互联网发布：java cms框架搭建编辑：程序博客网时间：2024/06/08 04:05

// 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"#include "math.h"using namespace std;using namespace cv;void Show_Image(Mat&, const string &);#endif // PS_ALGORITHM_H_INCLUDED/*Adjust bias and gain.*/#include "PS_Algorithm.h"float Bias(float a, float b);float Gain(float a, float b);int main(){    string  Image_name("4.jpg");    Mat Img=imread(Image_name.c_str());    Mat Img_out(Img.size(), CV_32FC3);    float gain_val = 0.75;   // 0-1    float bias_val = 0.25;   // 0-1    int width=Img.cols;    int height=Img.rows;    float val;    for (int y=0; y<height; y++)    {        for (int x=0; x<width; x++)        {            for (int k=0; k<3; k++)            {                val=(float)Img.at<Vec3b>(y, x)[k]/255;                val=Gain(val, gain_val);                Img_out.at<Vec3f>(y, x)[k]=Bias(val, bias_val);            }        }    }    Show_Image(Img_out, "New_img");    cout<<"All is well."<<endl;    waitKey();}float Bias(float a, float b){    float y;    a=pow(a, log(b)/log(0.5));    y=a/((1.0f/b-2)*(1.0f-a)+1);    return y;}float Gain(float a, float b){    /*        float p = log(1.0 - b) / log(0.5);        if (a < .001)            return 0.0f;        else if (a > .999)            return 1.0f;        if (a < 0.5)            return pow(2 * a, p) / 2;        else            return 1.0f - pow(2 * (1. - a), p) / 2;    */        float c = (1.0f/b-2.0f) * (1.0f-2.0f*a);        if (a < 0.5)            return a/(c+1.0f);        else            return (c-a)/(c-1.0f);}// 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);}

图像效果可以参考：

http://blog.csdn.net/matrix_space/article/details/46790171

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