直接对v均衡化，简单，十分有效。
#include <opencv2/opencv.hpp>#include <iostream>using namespace cv;using namespace std;int main(){Mat src_color = imread("E:/mypic/v1.png"); //person.jpgimshow("src_color", src_color);Mat src_hsv;cvtColor(src_color, src_hsv, COLOR_BGR2HSV_FULL);//全归一化到0~255COLOR_BGR2HSV_FULLvector<Mat> hsv_channels;split(src_hsv, hsv_channels);Mat H = hsv_channels[0];Mat S = hsv_channels[1];Mat V = hsv_channels[2];imshow("H", H);imshow("S", S);imshow("V", V);equalizeHist(V, V); //直接把V处理，进行合成imshow("V2", V);vector<cv::Mat> channels_3;channels_3.push_back(H);//Hchannels_3.push_back(S);//Schannels_3.push_back(V);//VMat img_merge;merge(channels_3, img_merge);cvtColor(img_merge, img_merge, COLOR_HSV2BGR_FULL);imshow("img_merge", img_merge);waitKey();}
其它文章简单有效的低照度增强_Asthestarsfalll的博客-CSDN博客_低照度增强也是v处理的
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