版权声明：本文为博主原创文章，未经博主允许不得转载。 https://blog.csdn.net/github_39611196/article/details/85246340
本文主要介绍cv2中的exposureFusion（曝光融合）。
示例代码：
import cv2
import numpy as np
import sys
filenames = ['./images/memorial0061.jpg',
'./images/memorial0062.jpg',
'./images/memorial0063.jpg',
'./images/memorial0064.jpg',
'./images/memorial0065.jpg',
'./images/memorial0066.jpg',
'./images/memorial0067.jpg',
'./images/memorial0068.jpg',
'./images/memorial0069.jpg',
'./images/memorial0070.jpg',
'./images/memorial0071.jpg',
'./images/memorial0072.jpg',
'./images/memorial0073.jpg',
'./images/memorial0074.jpg',
'./images/memorial0075.jpg',
'./images/memorial0076.jpg',]
# 读取图片
images = []
for filename in filenames:
im = cv2.imread(filename)
images.append(im)
# 使用曝光融合进行merge
print('Merging using Exposure Fusion...')
mergeMertens = cv2.createMergeMertens()
exposureFusion = mergeMertens.process(images)
# 保存输出的图片
print('Saving output ... exposure-fusion.jpg')
cv2.imwrite('exposure-fusion.jpg', exposureFusion*255)测试图片：
图片依次为memorial0061.jpg～memorial0076.jpg
测试结果：
