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Artificial Intelligence and Computer Vision pp 31–49Cite as

Particle Swarm Optimization Based Image Enhancement of Visual Cryptography Shares

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 672 ))

Abstract

Due to the rapid growth of digital communication and multimedia applications, security becomes an important issue of communication and storage of images. Visual Cryptography is used to hide information in images; a special encryption technique where encrypted image can be decrypted by the human visual system. Due to pixel expansion the resolution of the decrypted image diminishes. The visual perception of a decrypted image can be enhanced by subjecting the VC shares to Particle Swarm Optimization based image enhancement technique. This improves the quality and sharpness of the image considerably. Suitable fitness function can be applied to optimize problems of large dimensions producing quality solutions rapidly. Results of the proposed technique are compared with other recent image enhancement techniques to prove its effectiveness qualitatively and quantitatively. The proposed algorithm guarantees highly safe, secure, quick and quality transmission of the secret image with no mathematical operation needed to reveal the secret.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Applications, Gandhigram Rural Institute—Deemed University, Dindigul, Tamil Nadu, India

    M. Mary Shanthi Rani

  2. Department of Computer Science, Fatima College, Madurai, Tamil Nadu, India

    G. Germine Mary

Authors
  1. M. Mary Shanthi Rani
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  2. G. Germine Mary
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Corresponding author

Correspondence to G. Germine Mary .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Electronics, Kyushu Institute of Technology, Fukuoka, Japan

    Huimin Lu

  2. School of Information Engineering, Yangzhou University, Yangzhou, China

    Yujie Li

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Rani, M.M.S., Mary, G.G. (2017). Particle Swarm Optimization Based Image Enhancement of Visual Cryptography Shares. In: Lu, H., Li, Y. (eds) Artificial Intelligence and Computer Vision. Studies in Computational Intelligence, vol 672 . Springer, Cham. https://doi.org/10.1007/978-3-319-46245-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-46245-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46244-8

  • Online ISBN: 978-3-319-46245-5

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