opencv彩色图片Lens Shading Correction c++代码

以下是使用OpenCV进行彩色图像Lens Shading Correction的C++代码示例：

#include <opencv2/opencv.hpp>

using namespace cv;

int main(int argc, char** argv)
{
    // 读取图像
    Mat img = imread("input_image.jpg");

    // 计算每个通道的均值
    Scalar bgrMean = mean(img);

    // 计算红、绿、蓝三个通道的均值
    double rMean = bgrMean[2];
    double gMean = bgrMean[1];
    double bMean = bgrMean[0];

    // 计算每个通道的均值差
    double rDiff = rMean / 255.0;
    double gDiff = gMean / 255.0;
    double bDiff = bMean / 255.0;

    // 计算校正系数
    Mat correction = Mat::zeros(img.size(), CV_32FC3);
    for (int i = 0; i < img.rows; i++) {
        for (int j = 0; j < img.cols; j++) {
            float b = img.at<Vec3b>(i, j)[0];
            float g = img.at<Vec3b>(i, j)[1];
            float r = img.at<Vec3b>(i, j)[2];

            correction.at<Vec3f>(i, j)[0] = b / bMean * bDiff;
            correction.at<Vec3f>(i, j)[1] = g / gMean * gDiff;
            correction.at<Vec3f>(i, j)[2] = r / rMean * rDiff;
        }
    }

    // 应用校正系数
    Mat correctedImage;
    multiply(img, correction, correctedImage);

    // 显示结果
    imshow("input image", img);
    imshow("corrected image", correctedImage);
    waitKey(0);

    return 0;
}

这个示例代码会进行彩色图像的校正，以减少图像的Lens Shading效应。