I've asked Fredrik to consider adding these functions to the core PIL code in the past, but for some reason he's never discussed it further... maybe there are IP issues, I don't know.
Kevin.
# PILusm.py
# by Kevin Cazabon ([EMAIL PROTECTED], [EMAIL PROTECTED])
# copyright 2003
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
try:
from PIL import Image
except ImportError:
import Image
import PILusm
def gblur(im, radius = None):
""" PIL_usm.gblur(im, [radius])"""
if radius == None:
radius = 5.0
if not im.mode in ["RGB", "RGBX", "RGBA", "CMYK", "L"]:
raise TypeError, "Only RGB, RGBX, RGBA, CMYK, and L mode images supported."
im.load()
imOut = Image.new(im.mode, im.size)
result = PILusm.gblur(im.im.id, imOut.im.id, float(radius))
if result[0] != 0:
raise Exception, result[1]
return imOut
def usm(im, radius = None, percent = None, threshold = None):
""" PIL_usm.usm(im, [radius, percent, threshold])"""
if radius == None:
radius = 5.0
if percent == None:
percent = 150
if threshold == None:
threshold = 3
if not im.mode in ["RGB", "RGBX", "RGBA", "CMYK", "L"]:
raise TypeError, "Only RGB, RGBX, RGBA, CMYK, and L mode images supported."
im.load()
imOut = Image.new(im.mode, im.size)
result = PILusm.usm(im.im.id, imOut.im.id, float(radius), int(percent), int(threshold))
if result[0] != 0:
raise Exception, result[1]
return imOut
if __name__ == "__main__":
im = Image.open("c:\\temp\\test.tif")
import time
start = time.time()
im1 = gblur(im, 2.0)
print "gblur done in %s seconds" %(time.time() - start)
im1.save("c:\\temp\\test_blur.tif")
start = time.time()
im2 = usm(im, 2.0, 125, 8)
print "usm done in %s seconds" %(time.time() - start)
im2.save("c:\\temp\\test_usm.tif")
#start = time.time()
#im2 = antiNoise(im, 6, 6)
#print "antiNoise done in %s seconds" %(time.time() - start)
#im2.save("c:\\temp\\test_antiNoise_c.png")
PILusm.cpp
Description: Binary data
On 16 May 2008, at 10:22, Johannes Strömberg wrote:
Hello, Is there an unsharp mask filter in PIL (I can not find any) or can I create it by combining other filters (that would require Gaussian blur but I can not find that either)? /Johannes _______________________________________________ Image-SIG maillist - Image-SIG@python.org http://mail.python.org/mailman/listinfo/image-sig
_______________________________________________ Image-SIG maillist - Image-SIG@python.org http://mail.python.org/mailman/listinfo/image-sig
