Python Imaging Library Overview

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Introduction The Python Imaging Library adds image processing capabilities to your Pythoninterpreter.This library provides extensive file format support, an efficient internal representation,and fairly powerful image processing capabilities.The core image library is designed for fast access to data stored in a few basic pixelformats. It should provide a solid foundation for a general image processing tool.Let's look at a few possible uses of this library:

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http://www.pythonware.com/media/data/pil-handbook.pdf

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关键词：Overview Library python BRARY Aging

1. Example: Create JPEG Thumbnails
   
2. import os, sys
   
3. import Image
   
4. for infile in sys.argv[1:]:
   
5. outfile = os.path.splitext(infile)[0] + ".thumbnail"
   
6. if infile != outfile:
   
7. try:
   
8. im = Image.open(infile)
   
9. im.thumbnail((128, 128))
   
10. im.save(outfile, "JPEG")
    
11. except IOError:
    
12. print "cannot create thumbnail for", infile

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1. Example: Identify Image Files
   
2. import sys
   
3. import Image
   
4. for infile in sys.argv[1:]:
   
5. try:
   
6. im = Image.open(infile)
   
7. print infile, im.format, "%dx%d" % im.size, im.mode
   
8. except IOError:
   
9. pass

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1. Example: Rolling an image
   
2. def roll(image, delta):
   
3. "Roll an image sideways"
   
4. xsize, ysize = image.size
   
5. delta = delta % xsize
   
6. if delta == 0: return image
   
7. part1 = image.crop((0, 0, delta, ysize))
   
8. part2 = image.crop((delta, 0, xsize, ysize))
   
9. image.paste(part2, (0, 0, xsize-delta, ysize))
   
10. image.paste(part1, (xsize-delta, 0, xsize, ysize))
    
11. return image

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1. Example: Splitting and merging bands
   
2. r, g, b = im.split()
   
3. im = Image.merge("RGB", (b, g, r))

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1. Example: Transposing an image
   
2. out = im.transpose(Image.FLIP_LEFT_RIGHT)
   
3. out = im.transpose(Image.FLIP_TOP_BOTTOM)
   
4. out = im.transpose(Image.ROTATE_90)
   
5. out = im.transpose(Image.ROTATE_180)
   
6. out = im.transpose(Image.ROTATE_270)

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