#!/usr/bin/env python #-*- coding: utf-8 -*- # Stéganô - Stéganô is a basic Python Steganography module. # Copyright (C) 2010-2011 Cédric Bonhomme - http://cedricbonhomme.org/ # # For more information : http://bitbucket.org/cedricbonhomme/stegano/ # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program 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 General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see __author__ = "Cedric Bonhomme" __version__ = "$Revision: 0.1 $" __date__ = "$Date: 2010/10/01 $" __license__ = "GPLv3" import operator from PIL import Image from collections import Counter from collections import OrderedDict def steganalyse(img): """ Steganlysis of the LSB technique. """ encoded = img.copy() width, height = img.size colours = Counter() for row in range(height): for col in range(width): r, g, b = img.getpixel((col, row)) colours[r] += 1 most_common = colours.most_common(10) dict_colours = OrderedDict(sorted(colours.items(), key=lambda t: t[1])) colours = 0 for colour in dict_colours.keys(): colours += colour colours = colours / len(dict_colours) #return colours.most_common(10) return dict_colours.keys()[:30], most_common if __name__ == '__main__': # Point of entry in execution mode. from optparse import OptionParser parser = OptionParser() parser.add_option("-i", "--input", dest="input_image_file", help="Image file.") parser.add_option("-o", "--output", dest="output_image_file", help="Image file.") parser.set_defaults(input_image_file = './pictures/Lenna.png', output_image_file = './pictures/Lenna_steganalysed.png') (options, args) = parser.parse_args() input_image_file = Image.open(options.input_image_file) output_image = steganalyse(input_image_file) soutput_image.save(options.output_image_file)