使用 PIL 合并图像时模式不匹配

我正在传递 .jpg 文件的名称。

def split_image_into_bands(filename):
    img = Image.open(filename)
    data = img.getdata()
    red = [(d[0], 0, 0) for d in data]  # List Comprehension!
    green = [(0, d[1], 0) for d in data]
    blue = [(0, 0, d[2]) for d in data]

    img.putdata(red)    
    img.save(os.path.splitext(filename)[0] + "_red.jpg")
    img.putdata(green)
    img.save(os.path.splitext(filename)[0] + "_green.jpg")
    img.putdata(blue)
    img.save(os.path.splitext(filename)[0] + "_blue.jpg")

    # Put the 3 images back together
    rimage = Image.new(img.mode, img.size)
    rimage.putdata(red)
    gimage = Image.new(img.mode, img.size)
    gimage.putdata(green)
    bimage = Image.new(img.mode, img.size)
    bimage.putdata(blue)
    # Error on the following line: "ValueError: mode mismatch"
    img = Image.merge(img.mode, (rimage, gimage, bimage))    # Second argument is a tuple
    img.save(os.path.splitext(filename)[0] + "_merged.jpg")

该代码适用于合并功能。然后它抛出“ValueError：模式不匹配”

我不确定你想做什么，但它出了问题，因为img.mode is RGB。这意味着您有 3 个图像，每个图像有 3 个通道，因此当您尝试合并它们时，结果将是一个无人理解的 9 通道图像。

我的处理方法如下：

#!/usr/bin/env python3

import os
from PIL import Image

# Open inoput image and ensure RGB, get basename
img = Image.open(filename).convert('RGB')
basename = os.path.splitext(filename)[0]

# Split into 3 bands, R, G and B
R, G, B = img.split()

# Synthesize empty band, same size as original
empty = Image.new('L',img.size)

# Make red image from red channel and two empty channels and save
Image.merge('RGB',(R,empty,empty)).save(basename + "_red.jpg")
# Make green image from green channel and two empty channels and save
Image.merge('RGB',(empty,G,empty)).save(basename + "_green.jpg")
# Make blue image from blue channel and two empty channels and save
Image.merge('RGB',(empty,empty,B)).save(basename + "_blue.jpg")

# Merge all three original RGB bands into new image
Image.merge('RGB',(R,G,B)).save(basename + "_merged.jpg")