An Adaptive Quantitative Information Hiding Algorithm Based on DCT Domain of New Visual Model

摘要

On the basis of the analysis of human visual system characteristics, combined with Watson visual model, an improved information hiding algorithm based on image DCT (Discrete Cosine Transform, DCT) domain is proposed. By experiments and comparisons, the improved algorithm can enhance the imperceptibility of hidden information. In order to improve the anti-JPEG compression property of stego image, according to image compression coding principle, an algorithm which can effectively improve the JPEG compression ratio of stego image is also put forward. The experimental results show that this algorithm has better effect on improving concealment of information hiding and ensuring robustness of hidden information.