Probabilistic (n, n) Visual Secret Sharing Scheme for Grayscale Images

Authors:
Daoshun Wang;Xiaobo Li;Feng Yi
Affiliations:
Tsinghua National Laboratory for Information Science, Technology ( TNlist ) Department of Computer Science, Technology, Tsinghua University, Beijing, P.R. China 100084;Department of Computing Science, University of Alberta, Edmonton, Canada T6G 2E8;Tsinghua National Laboratory for Information Science, Technology ( TNlist ) Department of Computer Science, Technology, Tsinghua University, Beijing, P.R. China 100084
Venue:
Information Security and Cryptology
Year:
2007

Citing 8
Cited 2

Constructions and Properties of k out of nVisual Secret Sharing Schemes

Designs, Codes and Cryptography
New Colored Visual Secret Sharing Schemes

Designs, Codes and Cryptography
Visual cryptography for grey level images

Information Processing Letters
Improved Schemes for Visual Cryptography

Designs, Codes and Cryptography
New visual secret sharing schemes using probabilistic method

Pattern Recognition Letters
Probabilistic Visual Cryptography Schemes

The Computer Journal
Two secret sharing schemes based on Boolean operations

Pattern Recognition
An optimization model for visual cryptography schemes with unexpanded shares

ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems

Probabilistic visual secret sharing schemes for grey-scale images and color images

Information Sciences: an International Journal
Random grid-based visual secret sharing for general access structures with cheat-preventing ability

Journal of Systems and Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

Pixel expansion has been a major issue of visual secret sharing (VSS) schemes. A number of probabilistic VSS schemes with minimum pixel expansion have been proposed for black-and-white (binary) secret images. This paper presents a probabilistic (n, n)-VSS scheme for grayscale images. Its pixel expansion is significantly smaller than that of previous methods. The construction of the shadow images (shares) is based on the Boolean XOR operation.