编写一个使用高斯金字塔实现图像融合的代码
时间: 2023-11-28 14:47:20 浏览: 37
以下是使用OpenCV库实现的图像融合代码,其中包括了高斯金字塔的实现:
```python
import cv2
import numpy as np
def pyramid_blending(img1, img2, levels):
# generate Gaussian pyramid for img1
G1 = img1.copy()
gp1 = [G1]
for i in range(levels):
G1 = cv2.pyrDown(G1)
gp1.append(G1)
# generate Gaussian pyramid for img2
G2 = img2.copy()
gp2 = [G2]
for i in range(levels):
G2 = cv2.pyrDown(G2)
gp2.append(G2)
# generate Laplacian Pyramid for img1
lp1 = [gp1[levels-1]]
for i in range(levels-1,0,-1):
GE = cv2.pyrUp(gp1[i])
L = cv2.subtract(gp1[i-1],GE)
lp1.append(L)
# generate Laplacian Pyramid for img2
lp2 = [gp2[levels-1]]
for i in range(levels-1,0,-1):
GE = cv2.pyrUp(gp2[i])
L = cv2.subtract(gp2[i-1],GE)
lp2.append(L)
# join the left and right halves of the images in each level of Laplacian Pyramid
LS = []
for l1,l2 in zip(lp1,lp2):
rows,cols,dpt = l1.shape
ls = np.hstack((l1[:,0:cols//2], l2[:,cols//2:]))
LS.append(ls)
# reconstruct the blended image using the Laplacian Pyramid
blended = LS[0]
for i in range(1,levels):
blended = cv2.pyrUp(blended)
blended = cv2.add(blended, LS[i])
return blended
# load images
img1 = cv2.imread('image1.jpg')
img2 = cv2.imread('image2.jpg')
# set the number of levels for the pyramid
levels = 4
# perform pyramid blending
blended = pyramid_blending(img1, img2, levels)
# display the blended image
cv2.imshow('Blended Image', blended)
cv2.waitKey(0)
cv2.destroyAllWindows()
```
在此代码中,`pyramid_blending` 函数使用高斯金字塔实现图像融合,可以通过 `levels` 参数来控制金字塔的层数。函数首先生成两个图像的高斯金字塔,然后使用这些图像生成拉普拉斯金字塔,将这些金字塔的左右两侧进行合并,最后使用拉普拉斯金字塔重建混合图像。