International Journal of Innovative Computing Information and Control, Volume 6, Issue 3A, Page(s) 1023-1038.
This paper proposes an agent-based LSB substitution image hiding method This method first transforms a cover image from the spatial domain into the frequency domain and splits the secret data into secret patterns It then hides the agent pattern AP of each secret pattern SP in the least significant bits (LSB) of a coefficient in the high. frequency band of the frequency domain cover image This paper also provides a genetic algorithm to decide the most suitable agent pattern for each secret pattern, so that AP is more similar to the LSB of the coefficient than SP Modifying the agent-based LSB substitution hiding method by using an optimal pixel adjustment process, this paper also provides an optimal agent-based LSB substitution hiding method so as to further the quality of stego image The experimental results show that the proposed methods do not only provide satisfying stego image quality but. also have high robustness in resisting damage to the stego image.
International Journal of Innovative Computing Information and Control