Steganography Based on Adaptive Pixel-Value Differencing Scheme Revisited

摘要: The adaptive pixel-value differencing (APVD) based steganography proposed by Luo et al. is a state-of-the-art steganographic approach in spatial domain. It can resist blind steganalysis but vulnerable to the targeted attack Tan In this paper, we introduce an improved version of APVD. Like APVD, also first divide image into some non-overlapping squares and then rotate each them random degree 0, 90, 180 or 270. For embedding unit constructed with three consecutive pixels resulting image, randomly select one pixel it for data embedding. Furthermore, local statistical features are well preserved exploiting neighborhood information pixels. experimental results evaluated on large database reveal that our method makes significant improvement against APVD-specific steganalytic attack, has impressive performance resisting compared previous PVD-based methods.