LSB - Least significant bit steganography

A set of open tools for the study of the LSB method for steganography

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Split bit planes of an image rendered in Matplotlib, you can see a hidden image in plane 0, 1 and 2.

Original image	Red secret image	Green secret image	Blue secret image	Combined secret image

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Visible text data in the 0th bit plane. Data is stored in the RGB order, this allows up to width*height*3*PLANES bits of data to be stored.

RGBRGBRG pixels contain the first byte, followed by BRGBRGRG and so on. Once all of the last bit plane is read, the next one is read in the same way.

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Visible text data in the 0th bit plane, this time in an audio file.

Hidden data vs original, no audible differences. Not noticable without special tools.

Usage

Image

image_bitplane.py

Show an interactive Matplotlib plot showing the split bit planes for each channel (and the combined result).

python3 examples/image_bitplane.py ./sample_images/cat.png

image_combine_bitplanes.py

Splits all bitplanes and combines the chosen ones into an image.

python3 examples/image_combine_bitplanes.py ./sample_images/cat.png -s 0 -e 2

python3 examples/image_combine_bitplanes.py ./sample_images/cat.png -s 0 -e 2 -c true

image_read_text.py

python3 examples/image_read_text.py ./output/lichtenstein.png

python3 examples/image_read_text.py ./output/lichtenstein.png -s 0 -e 1

image_write_text.py

python3 examples/image_write_text.py ./sample_images/lichtenstein.png ./output/lichtenstein.png "Hello, world!"

Audio

audio_bitplane.py

python3 examples/audio_bitplane.py ./sample_audio/CantinaBand60.wav

audio_read_text.py

python3 examples/audio_read_text.py ./output/message.wav

audio_write_text.py

python3 examples/audio_write_text.py ./sample_audio/CantinaBand60.wav ./output/message.wav "Hello, world!"

License

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.

Copyright (C) dan[]fruhauf[]dev

Test file attribution

• Most images from sample_images/ are from the USC-SIPI Image Database except for the following:
• cat.png - https://stackoverflow.com/questions/58194992/python-image-manipulation-using-pillsb
• lichtenstein*.png - https://commons.wikimedia.org/wiki/File:Lichtenstein_img_processing_test.png
• trees.png - https://commons.wikimedia.org/wiki/File:Steganography_original.png
• Audio from sample_audio/ is from cs.uic.edu