Important data transmitted on the Internet runs the risk that it can be easily accessed if it did not be suitably protected. Steganographic methods can be used to enhance this kind of security and, therefore, are suitable for managing the risk of data communication. Modulus-based steganographic methods use a modulus to embed multiple message bits in the pixels of the cover image and can be applied to high-capacity applications such as hiding a secret image into a cover image. For security reason, these methods should basically possess the property of imperceptibility. In this paper, we present a steganographic method to meet this requirement. We first propose a generic model for
constructing secure modulus-based steganographic methods. Based on this model, an efficient human visual model is used to compute an adaptive
modulus for each pixel of the cover image so that the theoretical imperceptibility can be ensured. Experimental results show that the proposed method can efficiently adapt to the human visual system to
provide good performance of imperceptibility for high-capacity steganographic applications.