def adjust_gamma(image, gamma=1.0):
"""Adjust gamma value of image
Keyword arguments:
imgs_0 -- first image of image pair (with length of bath size)
gamma -- gamma value (default = 1.0)
"""
invGamma = 1.0 / gamma
table = np.array([((i / 255.0) ** invGamma) * 255
for i in np.arange(0, 256)]).astype("uint8")
# apply gamma correction using the lookup table
return cv2.LUT(image, table)
评论列表
文章目录