Python模糊的图像创建，以创建从黑色到白色的精美彩色绘画 [英] Python blurred image creation, to create a beautifully colored painting from black to white

问题描述

在Pyhton上，我想创建一张从黑色到白色的图片，并编写了以下代码.但是我认为我犯了一个非常小的错误，这就是结果.

on Pyhton I wanted to create a picture that goes from black to white, and I wrote the following code. But I think I'm doing a very small mistake, and that's the result.

我实际上想创建一个相似的图像.可以看到我在哪里犯错了吗?

I actually wanted to create a similar image. Can you see where I made a mistake?

  import numpy as np
from PIL import Image
width = 100
height = 100
img = np.zeros((height, width), dtype=np.uint8)
xx, yy=np.mgrid[:height, :width]
circle = (xx - 50)**2 + (yy- 50)**2
for x in range (img.shape[0]):
    for y in range (img.shape[1]):
        intensity = circle[x][y]
        img[x][y]= intensity
Image.fromarray(img, 'L').show()
Image.fromarray(img, 'L').save ('circlebad.png', 'PNG')

< ----------------------------------编辑---------------------------------------->

<----------------------------------Edit---------------------------------------->

当我插入时； intensity =强度/512 我的问题解决了.最后的密码；

When I insert; intensity = intensity / 512my problem solved. Last codes;

    import numpy as np
    from PIL import Image
    width = 100
    height = 100
    img = np.zeros((height, width), dtype=np.uint8)
    xx, yy=np.mgrid[:height, :width]
    circle = (xx - 50)**2 + (yy- 50)**2
    for x in range (img.shape[0]):
        for y in range (img.shape[1]):
            intensity = circle[x][y]
            intensity = intensity / 512
            img[x][y]= intensity
    Image.fromarray(img, 'L').show()
    Image.fromarray(img, 'L').save ('circlebad.png', 'PNG')

推荐答案

正如其他人指出的那样，您在顶部图像中获得输出的原因是因为强度必须在 range(256)code>，而Numpy算术实际上对代码所产生的值进行了％256 .

As others have noted, the reason you are getting the output in the top image is because the intensities need to be in range(256), and Numpy arithmetic is effectively doing % 256 on the values your code is producing.

这是您代码的经过修复的版本.

Here's a repaired version of your code.

import numpy as np
from PIL import Image

width = height = 320
radius = (width - 1) / 2
xx, yy = np.mgrid[:height, :width]

# Compute the raw values
circle = (xx - radius) ** 2 + (yy - radius) ** 2

#Brightness control
maxval = 255
valscale = maxval / (2 * radius ** 2)
circle = (circle * valscale).astype(np.uint8)

img = Image.fromarray(circle, 'L')
img.show()
img.save('circle.png')

输出:circle.png

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