OpenCV学习5-图像亮度与对比度调整

数学原理:

g(i,j)=\alpha (j,j)+\beta

主要代码:

Mat matSrc = imread("D:/Learn/OpenCV/Info/PIC/dt.jpg");
imshow("原图像", matSrc);

int height = matSrc.rows;
int width = matSrc.cols;

Mat matDst = Mat::zeros(matSrc.size(), matSrc.type());
float alpat = 1.2;
float beta = 10;
for (int row = 0; row < height; row++)
{
	for (int col = 0; col < width; col++)
	{
		if (matSrc.channels() == 3)
		{
			float b = matSrc.at<Vec3b>(row, col)[0];
			float g = matSrc.at<Vec3b>(row, col)[1];
			float r = matSrc.at<Vec3b>(row, col)[2];
			matDst.at<Vec3b>(row, col)[0] = saturate_cast<uchar>(b*alpat + beta);
			matDst.at<Vec3b>(row, col)[1] = saturate_cast<uchar>(g*alpat + beta);
			matDst.at<Vec3b>(row, col)[2] = saturate_cast<uchar>(r*alpat + beta);
		}
		else if (matSrc.channels() == 1)
		{
			float v = matSrc.at<uchar>(row, col);
			matDst.at<uchar>(row, col) = saturate_cast<uchar>(v*alpat + beta);
		}
	}
	imshow("增强处理后", matDst);
}

原图像:

增强后图像:

猜你喜欢

转载自blog.csdn.net/ShawShankChina/article/details/81387904