Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6959746 | Signal Processing | 2015 | 13 Pages |
Abstract
User-friendly threshold visual cryptography schemes (denoted (k,n)-FVCS) generate meaningful shares to cope with the management problem of conventional threshold visual cryptography. However, several issues remain in this research field, including: the pixel expansion problem, the residual traces problem, inter-images interference on meaningful shares, the inability to adjust visual quality, the lack of systematic encryption methods, and others. To solve these problems, this paper proposes a novel (k,n)-FVCS for sharing binary secret images in non-computer-aided decryption environments. Based on the probabilistic (k,n)-VCS, we propose a systematic method for embedding complementary cover images in shares for constructing the (k,n)-FVCSs. The proposed approach can address the above-mentioned issues of (k,n)-FVCSs for all k and n. In addition, the experimental results indicate that the proposed (k,n)-FVCS significantly outperforms the previous methods in terms of the visual quality of the recovered images and of the meaningful shares.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Pei-Ling Chiu, Kai-Hui Lee,