我们想要校正数码相机中镜头引入的场曲率。我们计划使用digital unsharp mask而不是高斯模糊,我们想尝试径向模糊,这样锐化对图像的边缘有更大的影响。
使用OpenCV创建径向模糊最简单的方法是什么?
发布于 2012-12-04 17:37:15
上面的答案很接近,但遗漏了一些我花了一点时间才弄明白的关键元素。我已经更改了地图,以便它们可以正确地计算缩放和收缩,并从每个位置的x和y中添加/减去它们(否则,您将最终将图像重新映射到一个小正方形。另外,我把/blur改成了*模糊,否则你的地图就会包含非常大的数字,结果就不对了(每个位置的倍数都非常大)。
float center_x = width/2; //or whatever
float center_y = height/2;
float blur = 0.002; //blur radius per pixels from center. 2px blur at 1000px from center
int iterations = 5;
Mat growMapx, growMapy;
Mat shrinkMapx, shrinkMapy;
for(int x = 0; x < width; x++) {
for(int y = 0; y < height; y++) {
growMapx[x,y] = x+((x - center_x)*blur);
growMapy[x,y] = y+((y - center_y)*blur);
shrinkMapx[x,y] = x-((x - center_x)*blur);
shrinkMapy[x,y] = y-((y - center_y)*blur);
}
}
Mat tmp1, tmp2;
for(int i = 0; i < iterations; i++) {
remap(src, tmp1, growMapx, growMapy, CV_INTER_LINEAR); // enlarge
remap(src, tmp2, shrinkMapx, shrinkMapy, CV_INTER_LINEAR); // shrink
addWeighted(tmp1, 0.5, tmp2, 0.5, 0, src); // blend back to src
}发布于 2019-09-18 22:59:29
Python代码:
w, h = img.shape[:2]
center_x = w / 2
center_y = h / 2
blur = 0.01
iterations = 5
growMapx = np.tile(np.arange(h) + ((np.arange(h) - center_x)*blur), (w, 1)).astype(np.float32)
shrinkMapx = np.tile(np.arange(h) - ((np.arange(h) - center_x)*blur), (w, 1)).astype(np.float32)
growMapy = np.tile(np.arange(w) + ((np.arange(w) - center_y)*blur), (h, 1)).transpose().astype(np.float32)
shrinkMapy = np.tile(np.arange(w) - ((np.arange(w) - center_y)*blur), (h, 1)).transpose().astype(np.float32)
for i in range(iterations):
tmp1 = cv2.remap(img, growMapx, growMapy, cv2.INTER_LINEAR)
tmp2 = cv2.remap(img, shrinkMapx, shrinkMapy, cv2.INTER_LINEAR)
img = cv2.addWeighted(tmp1, 0.5, tmp2, 0.5, 0)发布于 2011-10-05 07:25:34
我对类似Photoshop径向运动模糊的东西很感兴趣。如果这也是您正在寻找的,我认为最好的解决方案可能是迭代式的resize和blend (addWeighted)。也可以使用remap来完成。伪代码,或多或少
float center_x = width/2; //or whatever
float center_y = height/2;
float blur = 0.02; //blur radius per pixels from center. 2px blur at 100px from center
int iterations = 5;
Mat mapx, mapy;
for(int x = 0; x < width; x++) {
for(int y = 0; y < height; y++) {
mapx[x,y] = (x - center_x)/blur;
mapy[x,y] = (y - center_y)/blur;
}
}
Mat tmp1, tmp2;
for(int i = 0; i < iterations; i++) {
remap(src, tmp1, mapx, mapy, CV_INTER_LINEAR); // enlarge
remap(src, tmp2, -mapx, -mapy, CV_INTER_LINEAR); // shrink
addWeighted(tmp1, 0.5, tmp2, 0.5, 0, src); // blend back to src
}https://stackoverflow.com/questions/7607464
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