Trim whitespace using PIL

Is there a simple solution to trim whitespace on the image in PIL?

ImageMagick has easy support for it in the following way:

convert test.jpeg -fuzz 7% -trim test_trimmed.jpeg

I found a solution for PIL:

from PIL import Image, ImageChops

def trim(im, border):
    bg = Image.new(im.mode, im.size, border)
    diff = ImageChops.difference(im, bg)
    bbox = diff.getbbox()
    if bbox:
        return im.crop(bbox)

But this solution has disadvantages:

1. I need to define border color, it is not a big deal for me, my images has a white background
2. And the most disadvantage, This PIL solution doesn’t support ImageMagick’s -fuzz key. To add some fuzzy cropping. as I can have some jpeg compression artifacts and unneeded huge shadows.

Maybe PIL has some built-in functions for it?
Or there is some fast solution?

Answers:

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Method 1

I don’t think there is anything built in to PIL that can do this. But I’ve modified your code so it will do it.

• It gets the border colour from the top left pixel, using getpixel, so you don’t need to pass the colour.
• Subtracts a scalar from the differenced image, this is a quick way of saturating all values under 100, 100, 100 (in my example) to zero. So is a neat way to remove any ‘wobble’ resulting from compression.

Code:

from PIL import Image, ImageChops

def trim(im):
    bg = Image.new(im.mode, im.size, im.getpixel((0,0)))
    diff = ImageChops.difference(im, bg)
    diff = ImageChops.add(diff, diff, 2.0, -100)
    bbox = diff.getbbox()
    if bbox:
        return im.crop(bbox)

im = Image.open("bord3.jpg")
im = trim(im)
im.show()

Heavily compressed jpeg:

Cropped:

Noisy jpeg:

Cropped:

Method 2

Use wand http://docs.wand-py.org/en/0.3-maintenance/wand/image.html

trim(color=None, fuzz=0)
Remove solid border from image. Uses top left pixel as a guide by default, or you can also specify the color to remove.

Method 3

using trim function at ufp.image module.

import ufp.image
import PIL
im = PIL.Image.open('test.jpg', 'r')
trimed = ufp.image.trim(im, fuzz=13.3)
trimed.save('trimed.jpg')

All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0