Information Hiding Based on Binary Encoding Methods and Crossover Mechanism of Genetic Algorithms

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 238)

Abstract

Information hiding for digital images based on a binary encoding method and a crossover mechanism of genetic algorithm is presented in this paper. First, a crossover operation technique is used to change the pixel values of a covert image to form a crossover-operated matrix by using a specific crossover technique. Then, the crossover-operated matrix is encoded into a host image to form an overt image by using a specific encoding rule. The overt image contains eight groups of binary codes, i.e. identification codes, dimension codes, graylevel codes, crossover operating time codes, crossover technique codes, parent organism length codes, starting and ending position codes, and information codes. The parameters are used to encode and hide the covert image. According to the simulation results, the proposed method does well, larger image scrambling degree for the scrambled matrix.

Keywords

Information hiding Binary encoding Crossover mechanism of genetic algorithm 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Mechanical and Computer-Aided EngineeringSt. John’s UniversityNew Taipei CityTaiwan
  2. 2.Department of Computer Science and Information EngineeringNational Central UniversityJhongli CityTaiwan

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