Selective scalable secret image sharing with adaptive pixel-embedding technique

Different from secret image sharing technique, the secret of a scalable secret image sharing is displayed in the way that it could be progressively recovered by a set of shares. In other word, incomplete gathering of shadows cannot be used to reconstruct the whole image S immediately. To improve the security of SSIS, Lee and Chen have designed a selective scalable secret image sharing mechanism (SSSIS) to reduce the awareness of malicious attackers. Nevertheless, the quality of Lee and Chen’s scheme is not good due to the image distortion and storage overhead of static embedding. Thus, we introduce the concept of adaptive pixel-embedding into SSSIS, in which the embedded bits could be uniformly distributed in the stego image. Aside from the human vision perception, experimental results have demonstrated the superiority of new method over related works in terms of two objective indexes, including peak signal to noise ratio (PSNR) and structural similarity (SSIM).