直接看程式碼以及註釋：

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<Vec3b>(y, x)[c] = saturate_cast<uchar>(alpha*(matSelfPhoto.at<Vec3b>(y, x)[c]) + beta);
			}
		}
	}
}

int main()
{
	Mat matResult;
	Mat src = imread("C:\\Users\\Administrator\\Desktop\\brightness\\test.jpg");
	int bilateralFilterVal = 30;  // 雙邊模糊係數
	imshow("0000", src);
	whiteFace(src, 1.1, 68);  // 調整對比度與亮度，引數2為對比度，引數3為亮度
	imshow("1111", src);
	GaussianBlur(src, src, Size(9, 9), 0, 0); // 高斯模糊，消除椒鹽噪聲
	imshow("2222", src);
	bilateralFilter(src, matResult, bilateralFilterVal, // 整體磨皮
		bilateralFilterVal * 2, bilateralFilterVal / 2);
	imshow("3333", matResult);

	Mat matFinal;

	// 影象增強，使用非銳化掩蔽（Unsharpening Mask）方案。
	cv::GaussianBlur(matResult, matFinal, cv::Size(0, 0), 9);
	cv::addWeighted(matResult, 1.5, matFinal, -0.5, 0, matFinal);
	imshow("4444", matFinal);
	imwrite("E:\\test\\result.png", matFinal);
	waitKey(0);
	return 0;
}