覆盖图像并在每个像素位置显示较亮的像素 [英] overlay an image and show lighter pixel at each pixel location

问题描述

我有两个黑白图像，我希望将它们与最终图像合并，以显示两个图像中每个像素位置的较亮/白色像素.我尝试了以下代码，但是没有用.

I have two black and white images that I would like to merge with the final image showing the lighter/ white pixel at each pixel location in both images. I tried the following code but it did not work.

background=Image.open('ABC.jpg').convert("RGBA")
overlay=Image.open('DEF.jpg').convert("RGBA")
background_width=1936
background_height=1863
background_width,background_height = background.size
overlay_resize= overlay.resize((background_width,background_height),Image.ANTIALIAS)
background.paste(overlay_resize, None, overlay_resize)
overlay=background.save("overlay.jpg")
fn=np.maximum(background,overlay)
fn1=PIL.Image.fromarray(fn)
plt.imshow(fnl)
plt.show()

我收到的错误消息是无法处理此数据类型.任何人都可以提供的任何帮助或建议都将是巨大的.

The error message I get is cannot handle this data type. Any help or advice anyone could give would be great.

推荐答案

我认为您过于复杂了.您只需要读取两张图像并使其成为灰度numpy阵列，然后在每个位置选择两个像素中的较亮的颜色即可.

I think you are over-complicating things. You just need to read in both images and make them greyscale numpy arrays, then choose the lighter of the two pixels at each location.

因此，从这两张图片开始:

So starting with these two images:

#!/usr/local/bin/python3

import numpy as np
from PIL import Image

# Open two input images and convert to greyscale numpy arrays
bg=np.array(Image.open('a.png').convert('L'))
fg=np.array(Image.open('b.png').convert('L'))

# Choose lighter pixel at each location
result=np.maximum(bg,fg)

# Save
Image.fromarray(result).save('result.png')

您将获得:

关键字::numpy，Python，图像，图像处理，撰写，混合，混合模式，变亮，更亮，Photoshop，等效，变暗，覆盖.

Keywords: numpy, Python, image, image processing, compose, blend, blend mode, lighten, lighter, Photoshop, equivalent, darken, overlay.

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