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Using PSO in Image Hiding Scheme Based on LSB Substitution

  • Punam Bedi
  • Roli Bansal
  • Priti Sehgal
Part of the Communications in Computer and Information Science book series (CCIS, volume 192)

Abstract

With the massive growth in internet applications, there is a continuous need of efficient steganography techniques for the purpose of secret data communication and for the authentication and ownership identification of host data. This paper presents an efficient image hiding scheme using Particle Swarm Optimization (PSO) in the spatial domain of digital images. The proposed technique uses PSO to find the best pixel locations in an image where the secret image pixel data can be embedded. This PSO algorithm uses the Structural similarity Index (SSIM) as the objective function which is based on the simple visual effect of the human visual perception capability. As a result, the pixel positions generated by the proposed method, when used for embedding secret image data, result in minimum distortion of the host image. The results of the proposed technique have been analyzed qualitatively and quantitatively and also compared with some recent LSB techniques. The results show better stego image quality along with high embedding capacity.

Keywords

Steganography spatial domain particle swarm optimization image hiding 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Punam Bedi
    • 1
  • Roli Bansal
    • 1
  • Priti Sehgal
    • 2
  1. 1.Department of Computer ScienceUniversity of DelhiDelhiIndia
  2. 2.Department of Computer Science, Keshav CollegeUniversity of DelhiDelhiIndia

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