# Copyright (C) 2011, Maxime Biais <http://twitter.com/maximeb>
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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#
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# $Id$
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from PIL import Image
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import numpy
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def is_pma(matrix):
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for line in matrix:
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for e in line:
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if e[3] != 255:
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if e[0] > e[3] or e[1] > e[3] or e[2] > e[3]:
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return False
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return True
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def main(finput, foutput):
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# load
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#print "load image"
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im = Image.open(finput)
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matrix = numpy.array(im)
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# premultiply alpha
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print "checking PMA"
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if is_pma(matrix):
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print "Skipped %s: already Premultiplied Alpha image" % (finput, )
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return
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print "premultiplying matrix..."
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for line in matrix:
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for v in line:
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v[0] = v[0] * (v[3] / 255.)
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v[1] = v[1] * (v[3] / 255.)
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v[2] = v[2] * (v[3] / 255.)
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# save
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#print "matrix to image"
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res = Image.fromarray(matrix)
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#print "export to png"
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res.save(foutput)
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if __name__ == "__main__":
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import sys
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main(sys.argv[1], sys.argv[2])
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