opencv人像（人脸）美颜、磨皮

#include
#include
#include
#include
using namespace std;
using namespace cv;

void whiteFace(Mat& matSelfPhoto, int alpha, int beta)
{
	for (int y = 0; y < matSelfPhoto.rows; y++)
	{
		for (int x = 0; x < matSelfPhoto.cols; x++)
		{
			for (int c = 0; c < 3; c++)
			{
				matSelfPhoto.at(y, x)[c] = saturate_cast(alpha*(matSelfPhoto.at(y, x)[c]) + beta);
			}
		}
	}
}

int main()
{
	Mat matResult;
	Mat src = imread("E:/rengong_check/face/2_face.jpg");
	int bilateralFilterVal = 30;  // 双边模糊系数
	imshow("src", src);
	whiteFace(src, 1.2, 20);  // 调整对比度与亮度，参数2为对比度，参数3为亮度
	imshow("white_src", src);
	GaussianBlur(src, src, Size(3, 3), 0, 0); // 高斯模糊，消除椒盐噪声
	imshow("gaussian_src", src);
	bilateralFilter(src, matResult, bilateralFilterVal, // 整体磨皮
		bilateralFilterVal * 2, bilateralFilterVal / 2);
	imshow("bilateralFilter_src", matResult);

	Mat matFinal;

	// 图像增强，使用非锐化掩蔽（Unsharpening Mask）方案。
	cv::GaussianBlur(matResult, matFinal, cv::Size(0, 0), 3);
	cv::addWeighted(matResult, 1.5, matFinal, -0.5, 0, matFinal);
	imshow("inforcement_src", matFinal);
	//imwrite("E:\\test\\result.png", matFinal);
	waitKey(0);
	return 0;
}