这是在 Python/OpenCV/Numpy 中针对不透明图像执行此操作的一种方法。
- Read the input
- Compute top and bottom heights for the alpha channel
- Create a constant white image for top
- Create a vertical gradient going from 255 to 0 for the bottom
- Stack the top and bottom parts
- Convert the image to 4 channels BGRA
- Replace the alpha in the BGRA image with the stacked alpha
- Save the result
输入:
import cv2
import numpy as np
# read image
img = cv2.imread("lena.png")
ht, wd = img.shape[:2]
# compute 5% of ht and 95% of ht
# pct = 5
pct = 25 # temparily set pct to 25 percent for demonstration
ht2 = int(ht*pct/100)
ht3 = ht - ht2
# create opaque white image for top
top = np.full((ht3,wd), 255, dtype=np.uint8)
# create vertical gradient for bottom
btm = np.linspace(255, 0, ht2, endpoint=True, dtype=np.uint8)
btm = np.tile(btm, (wd,1))
btm = np.transpose(btm)
# stack top and bottom
alpha = np.vstack((top,btm))
# put alpha channel into image
result = img.copy()
result = cv2.cvtColor(result, cv2.COLOR_BGR2BGRA)
result[:,:,3] = alpha
# save result
cv2.imwrite('lena_fade.png', result)
# display results
# (note: display does not show transparency)
cv2.imshow('btm', btm)
cv2.imshow('alpha', alpha)
cv2.imshow('result', result)
cv2.waitKey(0)
结果:
添加
这里是如何在 ImageMagick 7 中做到这一点。
magick lena.png \
-set option:wd "%w" \
-set option:ht "%h" \
-set option:ht2 "%[fx:round(25*ht/100)]" \
-set option:ht3 "%[fx:ht-ht2]" \
\( -size "%[wd]x%[ht3]" xc:white \) \
\( -size "%[wd]x%[ht2]" gradient:white-black \) \
\( -clone 1,2 -append \) \
-delete 1,2 \
-alpha off -compose copy_opacity -composite \
lena_fade2.png
结果图像: