如何使用 python 创建透明的径向渐变？

Question

我正在尝试创建一个渐变到清晰背景的径向渐变。我的目标是创建此渐变并将其作为背景粘贴到另一个图像。

到目前为止，我已经能够创建一个圆形渐变，但它不是透明的。我在 Whosebug 中找到了以下代码：

imgsize=(650,650)
image = Image.new('RGBA', imgsize)
innerColor = [153,0,0]
for y in range(imgsize[1]):
    for x in range(imgsize[0]):
         distanceToCenter = math.sqrt((x - imgsize[0]/2) ** 2 + (y - imgsize[1]/2) ** 2)
         distanceToCenter = float(distanceToCenter) / (math.sqrt(2) * imgsize[0]/2)
         r = distanceToCenter + innerColor[0] * (1 - distanceToCenter)
         g =  distanceToCenter + innerColor[1] * (1 - distanceToCenter)
         b =  distanceToCenter + innerColor[2] * (1 - distanceToCenter)
         image.putpixel((x, y), (int(r), int(g), int(b)))

this is the image that is produced 我不想让它褪色成黑色，而是清除。

感谢您的帮助:)

Answer 1

这是简单的数学运算：white/opaque 是 255，所以您需要第 i 个维度为 innerColor[i] + distanceToCenter * (255 - innerColor[i]) 并将透明度参数添加到像素元组 int((1 - distanceToCenter) * 255):

imgsize=(650,650)
image = Image.new('RGBA', imgsize)
innerColor = [153,0,0]
for y in range(imgsize[1]):
    for x in range(imgsize[0]):
         distanceToCenter = math.sqrt((x - imgsize[0]/2) ** 2 + (y - imgsize[1]/2) ** 2)
         distanceToCenter = float(distanceToCenter) / (math.sqrt(2) * imgsize[0]/2)
         r =  innerColor[0] + distanceToCenter * (255 - innerColor[0])
         g =  innerColor[1] + distanceToCenter * (255 - innerColor[1])
         b =  innerColor[2] + distanceToCenter * (255 - innerColor[2])
         # Or just 
         # r = innerColor[0]
         # g = innerColor[1]
         # b = innerColor[2]
         # if not blending with white as you get farther away from the center.
         image.putpixel((x, y), (int(r), int(g), int(b), int((1 - distanceToCenter) * 255)))

结果是：

Answer 2

我想我会画你的纯红色并用 Numpy 计算一个透明层并将其推入：

#!/usr/bin/env python3

import numpy as np
from PIL import Image

# Define width and height of image
W, H = 650, 650

# Create solid red image
im = Image.new(mode='RGB', size=(W,H), color=(153,0,0))

# Create radial alpha/transparency layer. 255 in centre, 0 at edge
Y = np.linspace(-1, 1, H)[None, :]*255
X = np.linspace(-1, 1, W)[:, None]*255
alpha = np.sqrt(X**2 + Y**2)
alpha = 255 - np.clip(0,255,alpha)

# Push that radial gradient transparency onto red image and save
im.putalpha(Image.fromarray(alpha.astype(np.uint8)))
im.save('result.png')

关键字：Python，图像处理，径向渐变，alpha，透明度。

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