Robust Adaptive Steganography Based on Dither Modulation and Modification With Re-Compression

Traditional adaptive steganography is a technique used for covert communication with high security, but it invalid in the case of stego images are sent to legal receivers over networks which lossy, such as JPEG compression channels. To deal problem, robust proposed enable receiver extract secret messages from damaged images. Previous works utilize reverse engineering and compression-resistant domain constructing implement steganography. In this paper, we adopt modification re-compression scheme improve robustness sequences balance security robustness, move embedding low frequency region DCT (Discrete Cosine Transform) coefficients addition, add additional check codes further reduce average extraction error rate based on framework E-DMAS (Enhancing Dither Modulation Adaptive Steganography). Compared GMAS (Generalized dither Steganography) E-DMAS, experiment results show that our can achieve strong greatly when channel quality factor known.