频率域滤波【6】:同态滤波

void my_HomoFilter(Mat srcImg, Mat &dst)
{
	srcImg.convertTo(srcImg, CV_64FC1);
	dst.convertTo(dst, CV_64FC1);
	//1. ln
	for (int i = 0; i < srcImg.rows; i++)
	{
		double* srcdata = srcImg.ptr<double>(i);
		double* logdata = srcImg.ptr<double>(i);
		for (int j = 0; j < srcImg.cols; j++)
		{
			logdata[j] = log(srcdata[j] + 0.0001);
		}
	}

	//spectrum
	//2. dct
	Mat mat_dct = Mat::zeros(srcImg.rows, srcImg.cols, CV_64FC1);
	dct(srcImg, mat_dct);

	//3. linear filter
	Mat H_u_v;
	double gammaH = 1.5;
	double gammaL = 0.5;
	double C = 1;
	double d0 = (srcImg.rows / 2)*(srcImg.rows / 2) + (srcImg.cols / 2)*(srcImg.cols / 2);
	double d2 = 0;
	H_u_v = Mat::zeros(srcImg.rows, srcImg.cols, CV_64FC1);

	double totalWeight = 0.0;
	for (int i = 0; i < srcImg.rows; i++)
	{
		double * dataH_u_v = H_u_v.ptr<double>(i);
		for (int j = 0; j < srcImg.cols; j++)
		{
			d2 = pow((i), 2.0) + pow((j), 2.0);
			dataH_u_v[j] = (gammaH - gammaL)*(1 - exp(-C*d2 / d0)) + gammaL;
			totalWeight += dataH_u_v[j];
		}
	}
	H_u_v.ptr<double>(0)[0] = 1.1;




	//imshow("before filter", mat_dct);

	mat_dct = mat_dct.mul(H_u_v);

	idct(mat_dct, dst);

#if 0
	//spatial high high pass filter
	Mat tmp = Mat::zeros(srcImg.rows, srcImg.cols, CV_64FC1);
	GaussianBlur(srcImg, tmp, Size(9, 9), 1.5, 1.5);
	const double alpha = 0.5;

	for (int i = 0; i < srcImg.rows; i++)
	{
		double* srcdata = srcImg.ptr<double>(i);
		double* blurdata = tmp.ptr<double>(i);
		double* dstdata = dst.ptr<double>(i);
		for (int j = 0; j < srcImg.cols; j++)
		{
			dstdata[j] = (1 + alpha)*srcdata[j] - alpha*blurdata[j];
			//dstdata[j] = blurdata[j];

		}
	}



#endif
	//5. exp
	for (int i = 0; i < srcImg.rows; i++)
	{
		double* srcdata = dst.ptr<double>(i);
		double* dstdata = dst.ptr<double>(i);
		for (int j = 0; j < srcImg.cols; j++)
		{
			dstdata[j] = exp(srcdata[j]);
		}
	}

	//imshow("dst", dst);
	dst.convertTo(dst, CV_8UC1);
}


void main()
{	/* -- 第一步:读入图像矩阵 -- */
	Mat image = imread("lena.jpg", 0);
	Mat result = image.clone();

	my_HomoFilter(image, result);
	cout << "";
}

                          

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转载自blog.csdn.net/qq_30263737/article/details/91825701