Visual cryptography for general access structures
Information and Computation
New visual secret sharing schemes using probabilistic method
Pattern Recognition Letters
A copyright protection scheme for digital images using visual cryptography technique
Computer Standards & Interfaces
Friendly progressive visual secret sharing
Pattern Recognition
Multilevel Visual Secret Sharing
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Image encryption by multiple random grids
Pattern Recognition
A local Tchebichef moments-based robust image watermarking
Signal Processing
A document protection scheme using innocuous messages as camouflage
WSEAS Transactions on Information Science and Applications
Geometric distortion insensitive image watermarking in affine covariant regions
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Local histogram based geometric invariant image watermarking
Signal Processing
Probabilistic visual secret sharing schemes for grey-scale images and color images
Information Sciences: an International Journal
Multi-image encryption by circular random grids
Information Sciences: an International Journal
Progressive Visual Cryptography With Unexpanded Shares
IEEE Transactions on Circuits and Systems for Video Technology
User-Friendly Random-Grid-Based Visual Secret Sharing
IEEE Transactions on Circuits and Systems for Video Technology
Secret sharing with multi-cover adaptive steganography
Information Sciences: an International Journal
A new 1D chaotic system for image encryption
Signal Processing
Hi-index | 0.07 |
Block-based progressive visual secret sharing (BPVSS) is an encryption technique that utilizes the human visual system to recover a secret image. The recovery method is based on building up different image blocks step by step. In the last few years, several research projects have been devoted to the study of BPVSS. However, they have some common drawbacks. Their dispatching matrices are chaotically designed by adding some redundant 0/1s in order to maintain the size as a fixed value, which makes the methods hard to be implemented. In addition, the pixel expansion ratio grows faster when the number of participants increases and the visual quality of the restored image is quite poor. In this paper, we propose a non-expanded block-based progressive visual secret sharing scheme with noise-like and meaningful shares, respectively. Experimental results demonstrate the feasibility of this scheme. Our design has several advantages over other related methods: (1) the model is concise, easy to implement, and the number of participants need not be restricted; (2) with noise-like shares, the contrast of the restored image is 50%, which means that the hidden message can be clearly recognized by the naked eye; (3) when transparencies are transferred from noise-like patterns into a meaningful cover image, the contrast in the shares and the restored image is 25%, which is still superior to that obtained in other studies; (4) our scheme is more suitable for grayscale and color secret images; and (5) the size of the transparencies is the same as that of the secret image.