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.
Highlights
Steganography is the science of hiding messages in a medium called carrier or cover object in such a way that existence of the message is concealed
A steganographic method uses IA-Least Significant Bit (LSB) based on chaos and genetic algorithm is proposed
Experimental results demonstrate that our algorithm achieves high embedding capacity while preserving good image quality and high security
Summary
Steganography is the science of hiding messages in a medium called carrier or cover object in such a way that existence of the message is concealed. Least Significant Bit (LSB) replacing is the most widely used steganographic method in spatial domain, which replaces the cover image’s LSBs with message bits directly It has several disadvantages such as vulnerable to attacks, LSB steganography is a popular method because of its low computational complexity and high embedding capacity. Many steganographic schemes using LSB and its improved versions on qDCT have been invented, which offer reasonably high embedding capacity while attempting to preserve the marginal statistics of the cover image, such as J-Steg [3], F5 [4], and OutGuess [5].
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