一 PIL(Pillow)

https://pillow.readthedocs.io/en/latest/index.html 安装： pip install pillow

Basic

  1. from PIL import Image
  3. im = Image.open('test.png')
  5. # 宽，高
  6. width, height = im.size
  8. # 查看
  9. im.show()
  11. # 保存
  12. im.save('out.png')

ImageEnhance

增强工具，包括亮度，颜色，对比度，锐化等

  1. from PIL import ImageEnhance
  3. im = Image.open('test.png')
  5. # 对比度增强
  6. ImageEnhance.Contrast(im).enhance(2.0)
  8. # 锐化
  9. ImageEnhance.Sharpness(im).enhance(2.0)
  11. # 颜色增强
  12. ImageEnhance.Color(im).enhance(2.0)
  14. # 亮度增强
  15. ImageEnhance.Brightness(im).enhance(2.0)

ImageFilter

Filter工具，可进行模糊/锐化处理

  1. from PIL import ImageFilter
  3. im = Image.open('test.png')
  5. im.filter(ImageFilter.BLUR)
  6. im.filter(ImageFilter.GaussianBlur(radius=2))
  8. im.filter(ImageFilter.SMOOTH)
  9. im.filter(ImageFilter.SHARPEN)
  10. im.filter(ImageFilter.EDGE_ENHANCE)
  11. # more filters ...

convert

色彩空间的转换，如RGB，灰度，二值等

  • 1 (1-bit pixels, black and white, stored with one pixel per byte)
  • L (8-bit pixels, black and white)
  • P (8-bit pixels, mapped to any other mode using a colour palette)
  • RGB (3x8-bit pixels, true colour)
  • RGBA (4x8-bit pixels, true colour with transparency mask)
  • CMYK (4x8-bit pixels, colour separation)
  • YCbCr (3x8-bit pixels, colour video format)
  • I (32-bit signed integer pixels)
  • F (32-bit floating point pixels) ```python im = Image.open(‘test.png’)

im2 = im.convert(‘L’)

  1. <a name="frs6q"></a>
  2. ### ImageOps
  3. > 包含多种图像处理方法，如反色，自动调节对比度，裁剪，伸缩等，大多需要 `L` 或 `RGB` 模式
  5. ```python
  6. im = ImageOps.invert(im.convert('RGB'))

PixelAccess

像素数据获取和修改

示例，过去每个像素点的RGB值，根据条件进行黑白颜色替换

  1. im = Image.open('test.png')
  2. im = im.convert('RGB')
  4. pixdata = im.load()
  6. weight, height = im.size
  7. for x in range(weight):
  8.     for y in range(height):
  9.         rgb = pixdata[x, y]
  10.         if (rgb[0] - rgb[1] > 50) and (rgb[0] - rgb[2] > 50):
  11.             pixdata[x, y] = (0, 0, 0)
  12.         else:
  13.             pixdata[x, y] = (255, 255, 255)
  15. im.save('out.png')

原图
image.png
转换后
image.png

PS：每个像素点的RGB值可通过PS软件进行查看 吸管工具 - 点击像素点

image.png