LAUSR

With the current growth of multimedia applications, a substantial amount of visual data, including images and videos, is transmitted daily, making information forensics and security essential. Thus, protecting secret data from attackers is critical. In this work, we propose a AMBTC-based data-hiding method, in which secret data are concealed in individual image blocks that are compressed using absolute moment block truncation coding technique. By placing high or low mean values at the corner of each block, the secret data are then extracted reversibly and the original host image can be recovered at the decoding end. In addition, the quality of stego images is maintained, which protects the embedded visual data from the suspicion of attackers. From the experimental results, we show that the proposed method outperforms other state-of-the-art methods.