您好,我想为黑白照片提供彩色背景,首先将像素转换为白色或黑色,然后将白色替换为特定颜色(148,105,39),然后保存。
>到目前为止,这是我的功能,它不会改变颜色(也不会产生错误)
def binary_image(img):
gray = img.convert('L')
bw = gray.point(lambda x: 0 if x<128 else 255, '1')
img = bw.convert('RGBA')
pixdata = img.load()
for y in range(img.size[1]):
for x in range(img.size[0]):
if pixdata[x, y] == (255, 255, 255, 255): #white color
pixdata[x, y] = (148,105,39,255)
return full_4
img=Image.open('logo.jpg')
bg_fps = binary_image(img)
bg_fps.show()
答案 0 :(得分:0)
您确实非常想避免PIL图片出现for
循环,尝试使用Numpy,这样会更容易编写和运行。
我会这样:
import numpy as np
from PIL import image
# Load image and ensure greyscale
im = Image.open('U6IhW.jpg').convert('L')
# Make Numpy version for fast, efficient access
npim = np.array(im)
# Make solid black RGB output image, same width and height but 3 channels (RGB)
res = np.zeros((npim.shape[0],npim.shape[1],3), dtype=np.uint8)
# Anywhere the grey image is >127, make result image new colour
res[npim>127] = [148,105,39]
# Convert back to PIL Image and save to disk
Image.fromarray(res).save('result.png')
您同样可以使用PIL的ImageOps.colorize()
:
from PIL import Image, ImageOps
im = Image.open('U6IhW.jpg').convert('L')
# Threshold to pure black and white
bw = im.point(lambda x: 0 if x<128 else 255)
# Colorize
result = ImageOps.colorize(bw, (0,0,0), (148,105,39))