An Image Steganography using Particle Swarm Optimization and Transform Domain

  • Authors

    • Sanjutha MK
    2018-04-25
    https://doi.org/10.14419/ijet.v7i2.24.12139
  • Image steganography, DWT, Particle Swarm Optimization, IDWT, Security, Fitness function

  • Abstract

    As information technology is growing tremendously, one of the major concern is information security. A technique called image steganography is used to provide better security and for safeguarding the information. In image steganography, a secret image is put into recipient image so that only the receiver and sender will be aware of the secret message. Here in this paper, a secure, optimized scheme called particle swarm optimization is used to select the pixel efficiently for embedding the secret image in to cover image. PSO(Particle Swarm Optimization) decides pixel using fitness function which is based on the cost function. Cost function calculates entropy, edge and pixels intensity to evaluate fitness. Also, a technique called discrete wavelet transform has been employed to achieve robustness and statistical undetectability. The main aim of the proposed paper is to make better security and to obtain efficient PSNR and MSE values

     

     

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  • How to Cite

    MK, S. (2018). An Image Steganography using Particle Swarm Optimization and Transform Domain. International Journal of Engineering & Technology, 7(2.24), 474-477. https://doi.org/10.14419/ijet.v7i2.24.12139

    Received date: 2018-04-25

    Accepted date: 2018-04-25

    Published date: 2018-04-25