Quality-Optimized Image Steganography Subject to Anti-Steganalysis Constraint

In this paper, we propose an architecture that combines a quantization-based steganogrphic scheme with a steganalysis system, operated in a closed-loop manner with a cost function for minimization, to enhance the anti-steganalysis capability and image quality after data embedding. In this architecture, a controller based on the SA (simulated annealing) technique is adopted to guarantee fast and accurate convergence. Our proposed system is applied to the data embedding of JPEG-compressed images. Compared with the original embedding algorithm in (Seki, Y, et al., 2005), a better image quality (by an average improvement of 6.48 dB) can be achieved and simultaneously the anti-steganalysis capability is enhanced significantly.