High-Performance Steganographic Method Using Modulus Operation and Human Visual Model

Abstract

基本上，一個安全的資訊隱藏技術應具備良好的不可見性。以模數為基礎的資訊隱藏技術將大量的秘密資訊隱藏在最低的k個位元，以提供高容量的資訊隱藏應用。在本文中，我們針對每一個影像像素，提出一個可以產生適應性模數的資訊隱藏技術。首先，我們建構一般化以模數為基礎的資訊隱藏技術模型；其次，根據這個模型，我們提出一個簡單而有效的人類視覺系統，以計算每個掩護影像像素的適應性模數，以提供理論上的不可見性。實驗結果證明，本文提出的方法可以有效的適應人類視覺系統，在不可見性及高容量的表現上，均具有良好的效果。

A secure steganographic method should basically possess the property of imperceptibility. The modulus-based steganographic methods embed a large amount of the secret message in the k-bit LSB of the cover-image for high-capacity applications. In this paper, we propose a method to generate adaptive modulus for each pixel of the cover-image. We first propose a generic model for constructing secure modulus-based steganographic methods. Based on this model, a simple and efficient human visual model is proposed to compute the 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 and has good performances on imperceptibility and high-capacity.