LAUSR

The problem of general distortion model for reversible data hiding (RDH) is investigated in this letter. Unlike previous RDH schemes that regard the cover image as a memory-less sequence and assign the same distortion for each pixel, in this work, the modification distortion is adaptively defined for each pixel for visual performance enhancement. The situation is totally different compared with the traditional RDH approaches, and the classical histogram based methods can not be utilized. To deal with this new and challenging problem, we then propose a two-steps embedding framework. Considering binary image as cover, firstly, some pixels are selected and losslessly compressed as the reconstruction information for image recovery. Then, with the adaptively defined distortion and by utilizing matrix embedding, the secret message and the reconstruction information are embedded into the cover. In this way, reversible embedding is realized while the total distortion is minimized. By comparing with some previous RDH schemes for binary covers, experimental results show that better visual performance is achieved by the proposed method.