Using PSO in a spatial domain based image hiding scheme with distortion tolerance

  • Authors:
  • Punam Bedi;Roli Bansal;Priti Sehgal

  • Affiliations:
  • Dept. of Comp. Sc., University of Delhi, New Delhi 110 007, India;Dept. of Comp. Sc., University of Delhi, New Delhi 110 007, India;Dept. of Comp. Sc., University of Delhi, New Delhi 110 007, India

  • Venue:
  • Computers and Electrical Engineering
  • Year:
  • 2013

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Abstract

With tremendous advancement in digital technology, efficient steganography techniques are needed for the security and copyright protection of digital information being transmitted over the internet and for secret data communication. However, during transmission, a stego object may be exposed to noise or compression due to which the secret data cannot be extracted correctly at the receiver's end. This paper presents an efficient spatial domain based image hiding scheme, using Particle Swarm Optimization (PSO). Here, PSO is used to find the best pixel locations in a gray scale cover image where the secret gray scale image pixel data can be embedded. The objective function for PSO is defined in such a way that both quality and robustness of the stego image are acceptable. This results in a stego image which is not only good in quality but is also able to sustain certain noise and compression attacks during transmission. The results when compared with some recent data hiding techniques in the spatial domain show better stego image quality along with distortion tolerance.