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c - OpenCV 上的逆向过滤——访问 DFT 值并乘以 DFT 矩阵

转载 作者:太空狗 更新时间:2023-10-29 15:39:26 25 4
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我正在尝试在频域中执行逆滤波和伪逆滤波。

但是我在访问 DFT 系数和之后乘以 DFT 矩阵时遇到问题,因为我得到了复数,因此实际上是两个矩阵......

基本上逆向过滤执行

F = G/H,

其中 F 是恢复图像,G 是模糊图像,H 是模糊图像的内核。

伪逆需要访问 H 中的值,因为如果值接近 0,则应将其替换以避免恢复中出现问题。为此,我们必须更改 H,以便:

H(u,v) = 1/H(u,v) 如果 H(u,v) > 阈值并且 = 0 否则

我有一个 kernel1 (h_1),以及图像 imf(恢复)和 img(模糊)。这是代码:

  // compute the DFTs of the kernel (DFT_B) and the blurred image (DBF_A)
cvDFT( dft_A, dft_A, CV_DXT_FORWARD, complexInput1->height );
cvDFT( dft_B, dft_B, CV_DXT_FORWARD, complexInput2->height );

// the first type is the inverse fitlering
if (type == 1) {
printf("...performing inverse filtering\n");
// dividing the transforms
cvDiv(dft_A, dft_B, dft_C, 1);
}
// the second type is the pseudo-inverse filtering
else {
printf("...prepare kernel for pseudo-inverse filtering\n");
// will try to access the real values in order to see if value is above a threshold
cvSplit( dft_B, image_Re1, image_Im1, 0, 0 );
// pointers to access the data into the real and imaginary matrices
uchar * dRe1 = (uchar *)image_Re1->imageData;
uchar * dIm1 = (uchar *)image_Im1->imageData;
int width = image_Re1->width;
int height = image_Re1->height;
int step = image_Re1->widthStep;
image_Re2 = cvCreateImage(cvGetSize(image_Re1), IPL_DEPTH_32F, 1);
image_Im2 = cvCreateImage(cvGetSize(image_Im2), IPL_DEPTH_32F, 1);
// pointers to access the data into the real and imaginary matrices
// it will be the resulting pseudo-inverse filter
uchar * dRe2 = (uchar *)image_Re2->imageData;
uchar * dIm2 = (uchar *)image_Im2->imageData;

printf("...building kernel for pseudo-inverse filtering\n");
for ( i = 0; i < height; i++ ) {
for ( j = 0; j < width; j++ ) {
// generate the 1/H(i,j) value
if (dRe1[i * step + j] > threshold) {
float realsq = dRe1[i * step + j]*dRe1[i * step + j];
float imagsq = dIm1[i * step + j]*dIm1[i * step + j];

dRe2[i * step + j] = dRe1[i * step + j] / (realsq + imagsq);
dIm2[i * step + j] = -1 * (dIm1[i * step + j] / (realsq + imagsq));
}
else {
dRe2[i * step + j] = 0;
dIm2[i * step + j] = 0;
}
}
}
printf("...merging final kernel\n");
cvMerge(image_Re2, image_Im2, 0, 0, dft_B);
printf("...performing pseudo-inverse filtering\n");
cvMulSpectrums(dft_A, dft_B, dft_C, 1);
}
printf("...performing IDFT\n");
cvDFT(dft_C, dft_H, CV_DXT_INV_SCALE, 1);

printf("...getting size\n");
cvGetSubRect(dft_H, &tmp3, cvRect(0, 0, img->width, img->height));

printf("......(%d, %d) - (%d, %d)\n", tmp3.cols, tmp3.rows, restored->width, restored->height);

cvSplit( &tmp3, image_Re1, image_Im1, 0, 0 );

cvNamedWindow("re", 0);
cvShowImage("re", image_Re2);
cvWaitKey(0);

printf("...copying final image\n");
// error is in the line below
cvCopy(image_Re1, imf, NULL);

我在最后一行有一个错误:--- OpenCV Error: Assertion failed (src.depth() == dst.depth() && src.size() == dst.size()) in cvCopy,文件/build/buildd/opencv-2.1.0/src/cxcore/cxcopy.cpp,第466行

我知道这与大小或深度有关,但我不知道如何控制。无论如何,我试图显示 image_Re1 并且它是空的......

任何人都可以阐明它吗?

最佳答案

您似乎没有初始化您的 imf 图片!cvCopy 需要一个初始化的矩阵做一个:

IplImage* imf=   cvCreateImage(cvGetSize(image_Re1), IPL_DEPTH_32F, 1);

首先,我认为它会起作用。

此外,您不会在此代码中释放图像空间 (cvReleaseImage(&image))

关于c - OpenCV 上的逆向过滤——访问 DFT 值并乘以 DFT 矩阵,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/7589999/

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