Visual cryptography encodes a secret binary image SI into n shares of random binary patterns. The secret image can be visually decoded by superimposing a qualified subset of shares, but no secret information can be obtained from the superposition of a forbidden subset. Such a scheme is mathematically secure, however, the binary patterns of the n shares have no visual meaning, raising the suspicion of data encryption. In order to achieve a higher level of security, halftone visual cryptography was proposed to encode a secret binary image into n halftone shares (images) carrying significant visual information. The method is further extended in this paper. Based on blue-noise
dithering principles, a global optimization method is proposed to
improve the overall visual quality of all n halftone shares.
Thus, the adversaries are less likely to suspect the presence of
hidden cryptographic information.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.