Apply a watermark to an image using the Python Imaging Library. Supports color, tiling, scaling, and opacity reduction.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | import Image, ImageEnhance
def reduce_opacity(im, opacity):
"""Returns an image with reduced opacity."""
assert opacity >= 0 and opacity <= 1
if im.mode != 'RGBA':
im = im.convert('RGBA')
else:
im = im.copy()
alpha = im.split()[3]
alpha = ImageEnhance.Brightness(alpha).enhance(opacity)
im.putalpha(alpha)
return im
def watermark(im, mark, position, opacity=1):
"""Adds a watermark to an image."""
if opacity < 1:
mark = reduce_opacity(mark, opacity)
if im.mode != 'RGBA':
im = im.convert('RGBA')
# create a transparent layer the size of the image and draw the
# watermark in that layer.
layer = Image.new('RGBA', im.size, (0,0,0,0))
if position == 'tile':
for y in range(0, im.size[1], mark.size[1]):
for x in range(0, im.size[0], mark.size[0]):
layer.paste(mark, (x, y))
elif position == 'scale':
# scale, but preserve the aspect ratio
ratio = min(
float(im.size[0]) / mark.size[0], float(im.size[1]) / mark.size[1])
w = int(mark.size[0] * ratio)
h = int(mark.size[1] * ratio)
mark = mark.resize((w, h))
layer.paste(mark, ((im.size[0] - w) / 2, (im.size[1] - h) / 2))
else:
layer.paste(mark, position)
# composite the watermark with the layer
return Image.composite(layer, im, layer)
def test():
im = Image.open('test.png')
mark = Image.open('overlay.png')
watermark(im, mark, 'tile', 0.5).show()
watermark(im, mark, 'scale', 1.0).show()
watermark(im, mark, (100, 100), 0.5).show()
if __name__ == '__main__':
test()
|
Use the watermark function to blend a watermark into an image. The image and watermark are PIL images. The position is either an (x,y) tuple, "tile", or "scale". The opacity is a number between 0 and 1; lower values make the watermark less intrusive and less visible. The watermark function uses the reduce_opacity function, but if you're applying a watermark to many images, you can use the reduce_opacity function to premultiply the watermark.
This code requires PIL 1.1.4. It is fast, but it may consume a large amount of memory when working with large images.
This recipe is one answer to a post on the Python list:
http://mail.python.org/pipermail/python-list/2004-November/251149.html
error when running... """raise ImportError("The _imaging C module is not installed") ImportError: The _imaging C module is not installed """ i'm test under win2k3, ActivePython 2.4 Build 243 + PIL-1.1.4.win32-py2.3
"C module" what is ??
PIL might not be fully installed. The problem is at a lower level than I can solve easily, but it sounds like PIL is not installed correctly. Try reinstalling PIL, then test it using an interactive prompt, like this:
You are using Python 2.4 with PIL compiled for Python-2.3. That will not work.
Great for adding dates on digital photos, too. Shane, thanks for this recipe. I needed to put together a routine to add an imprint of a date to digital photos (my wife likes the date to appear, but I don't; so this keeps us both happy), and your recipe gave me a great starting point.
I use the following to get the date to be added:
Thanks, this peace of code helped me alot, But i wanted to put watermarks in bath, putting watermarks on multiple photos. Here is what I created out of this. http://hasanatkazmi.blogspot.com/2009/06/putting-watermark-to-images-in-batch.html