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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2006-2012 Filip Wasilewski <http://en.ig.ma/>
# See COPYING for license details.
"""
Wavelet Image Blender.
Blend image A with texture extracted from image B by selecting
detail coefficients:
----------------- -----------------
| | | |
| | | |
| | | |
| A | | B |
| | | |
| | | |
| | | |
----------------- -----------------
| |
2D DWT | 2D DWT |
V V
----------------- --------- -----------------
| | | | | | |
| A(LL) | H(LH) | | H(LH) | | |
| | | | | IDWT | |
----------------- + ----------------- -----> | C |
| | | | | | | |
| V(HL) | D(HH) | | V(HL) | D(HH) | | |
| | | | | | | |
----------------- ----------------- -----------------
(details only)
"""
import optparse
import os
import sys
if os.name == 'nt':
from time import clock # noqa
else:
from time import time as clock # noqa
from PIL import Image # PIL
import numpy # http://www.scipy.org
import pywt
def image2array(image):
"""PIL Image to NumPy array"""
assert image.mode in ('L', 'RGB', 'CMYK')
arr = numpy.fromstring(image.tostring(), numpy.uint8)
arr.shape = (image.size[1], image.size[0], len(image.getbands()))
return arr.swapaxes(0, 2).swapaxes(1, 2).astype(numpy.float32)
def array2image(arr, mode):
"""NumPy array to PIL Image"""
arr = arr.swapaxes(1, 2).swapaxes(0, 2)
arr[arr < 0] = 0
arr[arr > 255] = 255
arr = numpy.fix(arr).astype(numpy.uint8)
return Image.fromstring(mode, arr.shape[1::-1], arr.tostring())
def load_image(path, mode=None, size=None):
"""Load image"""
im = Image.open(path)
if im.mode not in ('L', 'P', 'RGB', 'CMYK'):
raise TypeError("Image mode must be 'L', 'P', 'RGB' or 'CMYK'")
if mode is not None:
if mode == 'P':
raise ValueError("Mode must be 'L', 'RGB' or 'CMYK'")
im = im.convert(mode)
elif im.mode == 'P':
im = im.convert('RGB')
if size is not None and im.size != size:
im = im.resize(size, Image.ANTIALIAS)
return im
def blend_images(base, texture, wavelet, level, mode='sp1', base_gain=None,
texture_gain=None):
"""Blend loaded images at `level` of granularity using `wavelet`"""
base_data = image2array(base)
texture_data = image2array(texture)
output_data = []
# process color bands
for base_band, texture_band in zip(base_data, texture_data):
# multilevel dwt
base_band_coeffs = pywt.wavedec2(base_band, wavelet, mode, level)
texture_band_coeffs = pywt.wavedec2(texture_band, wavelet, mode, level)
# average coefficients of base image
output_band_coeffs = [base_band_coeffs[0]] # cA
del base_band_coeffs[0], texture_band_coeffs[0]
# blend details coefficients
for n, (base_band_details, texture_band_details) in enumerate(
zip(base_band_coeffs, texture_band_coeffs)):
blended_details = []
for (base_detail, texture_detail) in zip(base_band_details,
texture_band_details):
if base_gain is not None:
base_detail *= base_gain
if texture_gain is not None:
texture_detail *= texture_gain
# select coeffs with greater energy
blended = numpy.where(abs(base_detail) > abs(texture_detail),
base_detail, texture_detail)
blended_details.append(blended)
base_band_coeffs[n] = texture_band_coeffs[n] = None
output_band_coeffs.append(blended_details)
# multilevel idwt
new_band = pywt.waverec2(output_band_coeffs, wavelet, mode)
output_data.append(new_band)
del new_band, base_band_coeffs, texture_band_coeffs
del base_data, texture_data
output_data = numpy.array(output_data)
return array2image(output_data, base.mode)
def main():
usage = "usage: %prog -b BASE -t TEXTURE -o OUTPUT "\
"[-w WAVELET] [-l LEVEL] [-m MODE]"
parser = optparse.OptionParser(usage=usage)
parser.add_option("-b", "--base", dest="base", metavar="BASE",
help="base image name")
parser.add_option("-t", "--texture", dest="texture", metavar="TEXTURE",
help="texture image name")
parser.add_option("-o", "--output", dest="output", metavar="OUTPUT",
help="output image name")
parser.add_option("-w", "--wavelet", dest="wavelet", metavar="WAVELET",
default='db2', help="wavelet name [default: %default]")
parser.add_option("-l", "--level", dest="level", metavar="LEVEL",
type="int", default=4,
help="decomposition level [default: %default]")
parser.add_option("-m", "--mode", dest="mode", metavar="MODE",
default='sym', help="decomposition mode. Adjust this if"
" getting edge artifacts [default: %default]")
parser.add_option("-x", "--base_gain", dest="base_gain", metavar="BG",
type="float", default=None,
help="Base image gain [default: %default]")
parser.add_option("-y", "--texture_gain", dest="texture_gain",
metavar="TG", type="float", default=None,
help="Texture image gain [default: %default]")
parser.add_option("--timeit", dest="timeit", action="store_true",
default=False, help="time blending operations")
(options, args) = parser.parse_args()
if None in (options.base, options.texture, options.output):
parser.print_help()
sys.exit(-1)
base = load_image(options.base)
texture = load_image(options.texture, base.mode, base.size)
if options.timeit:
t = clock()
im = blend_images(base, texture, options.wavelet, options.level,
options.mode, options.base_gain, options.texture_gain)
if options.timeit:
print("%.3fs" % (clock() - t))
im.save(options.output)
if __name__ == '__main__':
main()
|
