RG-Based Region Incrementing Visual Cryptography with Abilities of OR and XOR Decryption

Author:

Lin Yu-Ru1,Juan Justie Su-Tzu1ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Chi Nan University, Puli, Nantou 545, Taiwan

Abstract

Visual cryptography (VC) is a cryptographic technique that allows the encryption of a secret image into multiple shares. When the shares of a qualified subset are superimposed, the original secret image can be visually recovered. Region incremental visual cryptography (RIVC) is a class of visual cryptography; it encrypts a single image into a shared image with multiple levels of secrecy, and when decrypted, the secret image of each region can be gradually recovered. Traditional VC encrypts two black-and-white images, and its recovery method is equivalent to a logical OR operation. To obtain a better recognizability of the restored image, the XORoperator becomes a simple and efficient method of encryption and decryption. Because the XOR operation needs extra cost or equipment, if the equipment cannot be obtained, the scheme can be more flexible if the secret can still be restored by using OR decryption (superimpose). In this paper, we propose a novel RIVC that allows encoding multiple secret regions of a secret image into n random grids. Both the OR operation and the XOR operation can be used as operations during decryption. The proposed scheme is evaluated by simulation, and the experimental result shows its correctness, effectiveness and practicability.

Funder

National Science and Technology Council of Taiwan ROC

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Reference20 articles.

1. Naor, M., and Shamir, A. (1994). Workshop on the Theory and Application of Cryptographic Techniques, Springer.

2. Encryption of pictures and shapes by random grids;Kafri;Opt. Lett.,1987

3. Image encryption by multiple random grids;Shyu;Pattern Recognit.,2009

4. Visual secret sharing by random grids revisited;Chen;Pattern Recognit.,2009

5. Threshold visual secret sharing by random grids;Chen;J. Syst. Softw.,2011

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