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Improved Adaptive LSB Steganography Based on Chaos and Genetic Algorithm

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Author(s): Yu Lifang | Zhao Yao | Ni Rongrong | Li Ting

Journal: EURASIP Journal on Advances in Signal Processing
ISSN 1687-6172

Volume: 2010;
Issue: 1;
Start page: 876946;
Date: 2010;
Original page

ABSTRACT
We propose a novel steganographic method in JPEG images with high performance. Firstly, we propose improved adaptive LSB steganography, which can achieve high capacity while preserving the first-order statistics. Secondly, in order to minimize visual degradation of the stego image, we shuffle bits-order of the message based on chaos whose parameters are selected by the genetic algorithm. Shuffling message's bits-order provides us with a new way to improve the performance of steganography. Experimental results show that our method outperforms classical steganographic methods in image quality, while preserving characteristics of histogram and providing high capacity.
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