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在Python中使用PIL模块对图片进行高斯模糊处理的教程

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Release: 2016-06-10 15:13:11
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从一篇文章中看到,PIL 1.1.5 已经内置了高斯模糊,但是并没有在文档中提及,而且PIL的高斯模糊中 radius 是硬编码, 虽然构造方法中有传入 radius 参数,但压根就没有用到 (看这里),所以需要自己进行改造,当然,知道了原因, 修改起来自然非常简单了。

结合帖子中的需求,对局部进行高斯模糊,所以还需要结合使用 crop 和 paste 方法实现局部使用滤镜。

代码如下:

#-*- coding: utf-8 -*-

from PIL import Image, ImageFilter

class MyGaussianBlur(ImageFilter.Filter):
  name = "GaussianBlur"

  def __init__(self, radius=2, bounds=None):
    self.radius = radius
    self.bounds = bounds

  def filter(self, image):
    if self.bounds:
      clips = image.crop(self.bounds).gaussian_blur(self.radius)
      image.paste(clips, self.bounds)
      return image
    else:
      return image.gaussian_blur(self.radius)

bounds = (150, 130, 280, 230)
image = Image.open('source.jpg')
image = image.filter(MyGaussianBlur(radius=29, bounds=bounds))
image.show()

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可以看下效果:

201555170400852.jpg (500×667)

201555170538214.jpg (500×667)

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