Contents-based digital image protection using 2-D cellular automata transforms

Abstract

In this paper, we present a contents-based digital imageprotection technique using Cellular Automata Transforms (CAT). CAT has a huge number of combinations — gateway value — such as rule number, initial configuration, boundary condition and basis function type. CAT coefficients and digital image copyright are used to generate a new contents-based copyright message that will be stored in a database with CAT parameters. A possibility of copyright dispute will clearly show a copyright that is extracted from its received image and the saved contents-based copyright. The simulation results show that the proposed method is robust to attacks and is more secure than using the gray-scale contents-based method.