  In recent years, due to the powerful abilities to deal with highly complex
tasks, the artificial neural networks (ANNs) have been studied in the hope of
achieving human-like performance in many applications. Since the ANNs have the
ability to approximate complex functions from observations, it is
straightforward to consider the ANNs for steganography. In this paper, we aim
to implement the well-known LSB substitution and matrix coding steganography
with the feed-forward neural networks (FNNs). Our experimental results have
shown that, the used FNNs can achieve the data embedding operation of the LSB
substitution and matrix coding steganography. For steganography with the ANNs,
though there may be some challenges to us, it would be very promising and
valuable to pay attention to the ANNs for steganography, which may be a new
direction for steganography.
